2013
Jun 4
11:00 am
Bayesian Nonparametric Inference of Effective Population Size Trajectories from Genomic Data
Julia A. Palacios Roman
- PDL C-14
Jun 3
3:30 pm
Extinction or Explosion in a Galton-Watson Branching Process: Testing or Prediction?
Michael Perlman - University of Washington
- THO 125
May 20
BigData: Probabilistic Methods for Efficient Search and Statistical Learning with Extremely High-Dimensional Data
Ping Li - Cornell University
May 13
Inverse Regression Analysis of Really Big Tables
Matt Taddy - University of Chicago, Booth School of Business
May 6
Determinantal Point Processes in Machine Learning
Ben Taskar - University of Washington
Apr 29
Recovery of Simultaneously Structured Models with Limited Information
Maryam Fazel - University of Washington
Seminar - THO 125
Apr 22
Reproducibility of Science: P-values and Multiplicity
Jim Berger-Microsoft Distinguished Speaker - Duke University
Apr 15
Structure of Life Distributions
Ingram Olkin - Stanford University
Apr 8
Why Do Statisticians Treat Predictors as Fixed? -- A Conspiracy Theory
Andreas Buja-Microsoft Distinguished Speaker - Wharton School, University of Pennsylvania
Mar 15
4:00 pm
Scaling deep learning to 10,000 cores and beyond
Quoc V Le - Stanford University
Seminar - PCAR 295
Mar 14
Seminar - EEB 105
Mar 11
A nonparametric Bayesian model for legislative voting
Abel Rodriguez - University of California Santa Cruz
Seminar - SAV 260
Feb 27
The Convex Geometry of Inverse Problems
Ben Recht - University of Wisconsin
Seminar - PCAR 293
Feb 25
Learning from Big Data in biology
Marc Suchard - University of California Los Angeles
Feb 13
12:30 pm
Statistical Machine Learning and Big-p Data
Pradeep Ravikumar
Seminar - SAV 409
Feb 12
Statistical Machine Learning and Big-p, Big-n, Complex Data
Feb 11
Statistical Inference on Covariance Structure and Sparse Discriminant Analysis
Tony Cai-Microsoft Distinguished Speaker - University of Pennsylvania
Feb 5
“Insurance” Against Incorrect Inference after Variable Selection
Larry Brown-Microsoft Distinguished Speaker - University of Pennsylvania
Seminar - SMI 211
Jan 22
1:30 pm
Bayesian Population Reconstruction: A Method for Estimating Age- and Sex-specific Vital Rates and Population Counts with Uncertainty from Fragmentary Data
Mark C. Wheldon
Final Exam - PDL C-301
Jan 14
Hierarchical modeling of spatial structure of epidermal nerve fibers
Aila Sarkka - Statistics
2012
Dec 10
Bayesian nonparametric models for bipartite graphs
Francois Caron - INRIA
Dec 3
High-Dimensional Poisson Graphical Models
Genevera Allen - Rice University
Nov 16
Testing for Differences between Least Squares and Robust Regression Estimates
Tatiana A. Maravina
Final Exam - PDL C-14
Nov 15
Bayesian Inference and the Parametric Bootstrap ( Joint seminar with Biostatistics)
Brad Efron - Stanford University
Seminar - HS4 T639
Nov 13
Estimating coancestry among multiple individuals in populations
Christopher G. Glazner - University of Washington
General Exam - PDL C-301
Nov 5
An Conditional Empirical Likelihood Approach to Combine Sampling Design
Sanjay Chaudhuri - National University of Singapore
Oct 29
Bayesian Variable Selection for High-Dimensional Genetic Association Studies
Melanie Quintana - University of Southern California
Oct 22
Low-rank matrix reconstruction with a new family of matrix norms
Rina Foygel - University of Chicago
Oct 18
8:30 am
Learning and Manifolds: Leveraging the Intrinsic Geometry
Dominique C. Perrault-Joncas
Oct 15
Interpretation of Eigenvalues in Multivariate Statistical Analysis
Steen Andersson - Indiana University
Oct 8
Empirical Hierarchical Bayes Approach to Gene-Environment Interactions and Pathways: Development and Application to Genome-Wide Association Studies of Lung Cancer in TRICL
Heike Bickeboller - University of Gottingen
Oct 1
Bayesian information criterion for singular model
Mathias Drton - University of Washington
Sep 11
10:00 am
Separable covariance testing and estimating for sociomatrices
Alex Volfovsky - University of Washington
Sep 6
2:30 pm
Analyzing Time Series Data for Endemic Cholera in Bangladesh with Mechanistic Models of Infectious Disease Dynamics
Amanda Allen - University of Washington
Aug 14
Bayesian Modeling of Health Data in Space and Time
Cici Xi Chen Bauer - University of Washington
Jul 3
9:30 am
Modeling Heterogeneity Within and Between Arrays
Bailey Fosdick - University of Washington
Jun 5
2:00 pm
MS Thesis Presentation: A resampling approach to clustering with confidence
Yuan Chiam - University of Washington
Seminar - PDL C-301
May 21
Dependence modeling with vine copulas
Eike Brechmann - Technische Universität München
May 15
9:00 am
Whole-Genome Quantitative Trait Prediction and Heritability Mapping via an Infinite Allele Model
Serge Sverdlov - University of Washington
May 7
Regression with noisy and missing covariates:
Martin Wainwright - University of California Berkeley
Bayesian Modeling For Multivariate Mixed Outcomes With Applications To Cognitive Testing Data
Jonathan Gruhl - University of Washington
May 2
3:00 pm
Nonstationary Modeling Through Dimension Expansion
Luke Bornn - University of British Columbia, Vancouver, BC
Apr 30
Split Hamiltonian Monte Carlo
Babak Shahbaba - University of California, Irvine
Apr 23
Plug-in Approach to Active Learning
CANCELLED- Stas Minsker - Georgia Tech
Apr 16
Singular Learning Theory: a view from Algebraic Geometry
Shaowei Lin - Stanford University
Apr 2
Modeling adventures in proteomics: statistical peptide identification from clustered tandem mass spectrometry data
Vladimir Minin
Energy Minimization and Statistical Modeling
Hoyt Koepke
General Exam - PCAR 293
Mar 5
Simulating the Universe in a (large) Computer
Fabio Governato - University of Washington
Seminar - THO 101
Feb 17
The Nicholson Blowfly Experiments: Some History and EDA
David R. Brillinger - University of California, Berkeley
Seminar - GWN 201
Feb 6
Second-Order Comparison of Functional Data with Applications to DNA Geometry
Victor M. Panaretos - Swiss Federal Institute of Technology
Hierarchical modelling of spatial structure of epidermal nerve fibers
Seminar - PDL THO 125
Jan 9
Bayesian Nonparametric Methods for Complex Dynamical Phenomena
Emily B. Fox - The Wharton School University of Pennsylvania
2011
Dec 5
Regularization For Multivariate Missing Data in Proteomic Studies
Dr. Pei Wang - Fred Hutchinson Cancer Research Center
Nov 28
Cholesky Stochastic Volatility
Hedibert Freitas Lopes - Chicago Booth
Nov 21
Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions
Tyler McCormick - University of Washington
Nov 17
11:30 am
Bayesian is converted into frequentist by reversing the sign of the data length
Hidetoshi Shimodaira - Institute of Technology
Seminar - SAV 156
Postprocessing of Precipitation Forecasts with an SPDE Based Spatio-temporal Model for Large Data
Fabio Sigrist - Statistics
Seminar - PDL C301
Nov 14
Towards Understanding Behavior and Intent
Tomas Singliar - Boeing Research
Nov 7
Modeling Event Streams with Graphical Event Models
Christopher Meek - Microsoft
Oct 31
Joint Estimation of Multiple Graphical Models
Jian Guo - Harvard University
Oct 27
Sparse Bayes Estimation in Non-Gaussian Models via Data Augmentation
Nicholas G. Polson - Chicago Booth School of Business
Seminar - HS4 T-639
Oct 24
Automating MCMC Algorithms, Alleviating Confounding, and Reducing Dimensions for a Class of Spatial Models
Murali Haran - Pennsylvania State University
Oct 17
Bayesian model specification: toward a Theory of
David Draper - University of California Santa Cruz
Oct 12
Statistical Problems in Large Networks
Persi Diaconis - Stanford University
Seminar - SMI 120
Oct 10
Bayesian Models for Sparse Regression Analysis of High Dimensional Data
Dr. Leonardo Bottolo - Imperial College, London
Oct 3
High Dimensional Hypothesis Screening Using P-Value Perturbation
Ali Shojaie - University of Washington
Aug 10
Parametrizations of Discrete Graphical Models
Robin Evans - University of Washington
Final Exam - THO 202
Aug 9
Statistical Approaches to Analyze Mass Spectrometry Data
Soyoung Ryu - University of Washington
Jul 12
MS Thesis Presentation - On Left-Stochastic Decomposition Clustering
Amol Kapila - University of Washington
Non-Linear Dimension Reduction: Riemannian Metric Estimation and the Problem of Geometric Recovery
Dominique Perrault-Joncas - University of Washington
General Exam - PCAR 295
Jun 2
Possible Uses of Fictional Sample Sizes
Bruce Lindsay (Joint with Biostatistics) - Pennsylvania State University
Seminar - HST T-639
Factor Models with Non-Normality: Robust, Skewed Distribution MLE and Bayes Estimation
Tatiana Maravina - University of Washington
May 25
Relational Models for Contingency Tables
Anna Klimova - University of Washington
General Exam - CDH 223B
Nonparametric Mode Estimation via the Log-Concave Shape Constraint
Charles Doss - University of Washington
General Exam - DEN 205
May 23
Cumulative Distribution Networks: Inference and Estimation of Graphical Models for Cumulative Distribution Functions
Jim Huang - Microsoft Research
Seminar - EEB 045
May 17
Statistical Models for Estimating and Predicting HIV/AIDS Epidemics
Le Bao - University of Washington
Final Exam - GUG 204
May 16
Experiments with Imputations Estimators Under Model Misspecification
Vladimir Minin - University of Washington
1:00 pm
Bayesian Modeling of Survey Data in Space and Time
Cici Chen - University of Washington
Mean and Covariance Models for Tensor-Valued Data
Peter Hoff - University of Washington
Apr 25
Statistical Issues in the Analysis of Flow Cytometry Data and the FlowCAP Competition
Raphael Gottardo - Fred Hutchinson Cancer Research Center
Apr 18
Smooth James-Stein Model Selection in Wavelet Smoothing, Parametric Linear Model and Inverse Problem
Sylvain Sardy - Université de Genève
Apr 11
On the Use and Misuse of Tests of Significance
Peter Guttorp - University of Washington
Apr 4
New Theory and Software for the Analysis of Microbial Communities
Erick Matsen - Fred Hutchinson Cancer Center
Mar 22
A Bayesian Surveillance System for Detecting Clusters of Non-Infectious Diseases
Albert Kim - University of Washington
Seeing the Trees Through the Forest: A Competition Model for Growth and Mortality
Hil Lyons - University of Washington
Mar 7
UPS Delivers Optimal Phase Diagram for High Dimensional Variable
Jiashun Jin - Carnegie Mellon University
Seminar - SMI 304
Mar 3
MS Thesis Presentation - Modeling the Game of Soccer Using Potential Functions
Robby Branom - University of Washington
Seminar - PDL C-14
Bayesian Inference for Exponential-family Random Graph Models for Social Networks
Ranran Wang - University of Washington
Testing the Manifold Hypothesis
Hariharan Narayanan - Massachusetts Institute of Technology
Feb 4
Adaptive Confidence Intervals for Non-Smooth Functionals
Eric Laber - University of Michigan
Feb 2
8:15 am
Nonparametric Estimation of the Bivariate Survivor Function
Jan 31
Identifiability of Linear Structural Equation Models
Mathias Drton - University of Chicago
Jan 28
Point Process Modeling for Directed Interaction Networks
Patrick Perry - Harvard University
Jan 25
12:00 pm
Measurement Error in Retrospective Careers: A Latent Markov Model
Anna Manzoni - Yale University
Jan 24
Querying Probabilistic Data
Dan Suciu - University of Washington
Jan 20
Harnessing Network Science to Reveal Our Digital Footprints: Social Networks and Communities
Jukka-Pekka Onnela - Harvard University
2010
Dec 9
Nov 29
From Sexual Behavior to Space Weather – Undergraduate Research in Statistics
J. Morita, A.L-Cook, T. Lerud, & M. Morris - University of Washington
Seminar - SIG 134
Nov 23
Bayesian Nonparametric Inference of Population Trajectories with Gaussian Processes
Julia Palacios Roman - University of Washington
Nov 22
Formula-Based Probabilistic Inference
Vibhav Gogate - University of Washington
Conditional independence and marginal modeling
Tamas Rudas - Eotvos Lorand University, Budapest
Nov 10
Estimating Population Size and Demographic Parameters with Uncertainty
Mark Wheldon - University of Washington
General Exam - GUG 204
Nov 1
Statistical Governance in Financial Services: What It Is, Why We Have It, and How We are Improving It
William Kahn - Travelers Insurance
Oct 25
A Framework for Feature Selection in Clustering
Daniela Witten - University of Washington
Oct 21
Estimating Social Contact Networks to Improve Influenza Simulation Models
Gail Potter - University of Washington
Final Exam - PDL C301
Standardization vs. Modeling for Confounder Control in Observational Studies: A Historical Perspective
Niels Keiding - University of Copenhagen
Seminar - HST T-733
Oct 11
Statistics, Temperatures and Climate Change
Sep 30
Introductory Seminar
David Yanez (Joint with Biostatistics) - Department of Biostatistics
Sep 20
Modeling Longitudinal Multivariate Data with Mixed Outcomes: Hierarchical Latent Trait and Individual-Level Mixture Models
Aug 19
Portfolio Optimization with Tail Risk Measures and Non-Normal Returns
Minfeng Zhu - University of Washington
Aug 6
Covariance Estimation in the Presence of Diverse Types of Data
Xiaoyue Niu - University of Washington
Jul 30
Geostatistical Model Averaging for Probabilistic Quantitative Precipitation Forecasting
William Kleiber - University of Washington
May 24
Dealing with Structural Breaks in Regime-Specific Parameters of Markov-Switching Models: Are Business Cycles All Alike?
Chang-Jin Kim - University of Washington and Korea University
Modeling Ecological and Evolutionary Processes in Spatially Structured Populations
Chaozhi Zheng - University of Washington
May 11
Convex Analysis Methods in Shape Constrained Estimation
Arseni Seregin - University of Washington
Final Exam - EEB 403
May 10
Arbitrage-Free Linear Price Function Models for the Term Structure of Interest Rates
Andrew Siegel - University of Washington
May 3
The Lasso: Some Novel Algorithms and Applications
Rob Tibshirani (Joint with Biostatistics) - Stanford University
Mediation and Spillover Effects in Group-Randomized Trials, with Application to the 4R\'s Educational Intervention Study
Tyler VanderWeele - Harvard School of Public Health
Seminar - HST T-739
Apr 19
Machine Learning Approaches for Understanding the Genetic Basis of Complex Traits
Su-In Lee - University of Washington
Apr 12
Statistical Test Procedures for Unreplicated Bland-Altman Method Comparison Plots
Kevin Hayes - University of Limerick
Apr 5
Adaptive Base Class Boost for Multi-Class Classification and Comparisons with Deep Learning
Mar 29
Automated Gating of Flow Cytometry Data via Robust Model-based Clustering
Kenneth Lo - University of Washington
Mar 8
Concepts and Methods for Learning from Similarities
Maya R. Gupta - University of Washington
Mar 1
Risk, Uncertainty and Climate Models
Peter Challenor - University of Southampton
Feb 22
3:30 am
Statistics 100, Numbers and Reasons: A New Undergraduate Introduction to Statistical Science
Fred Bookstein - University of Washington
Feb 10
Bayesian Inference of Exponential-Family Models for Social Networks
General Exam - EEB 403
Feb 8
Characterization, Convergence and Stability of Hierarchical Clustering Schemes
Facundo Mémoli - Stanford University
Lei Xu - University of Washington
Feb 1
Two Statistical Vignettes: Simpson\'s Paradox and Shaved Dice
Respondent-Driven Sampling: Realistic Models and Appropriately Conservative Variance Estimates or RDS for Skeptics
W. Whipple Neely - University of Washington
Jan 11
Staring at the Black-Box: Statistical Inference in the Physical Sciences
Paul Baines - Harvard University
Jan 4
Estimation of Convex-Transformed Densities
2009
Dec 14
A Statistical Approach to Peptide Identication From Clustered Tandem Mass Spectrometry Data
General Exam - EEB 303
Dec 11
Bayesian Model Averaging and Multivariate Conditional Independence Structures
Alex Lenkoski - University of Washington
Dec 7
(Bayesian) Statistics with Rankings
Marina Meila - University of Washington
Seminar - MGH 389
Nov 30
Genetic Architecture and Evolution of Gene Expression Variation: Insights From Yeast and Humans
Joshua Akey - University of Washington
A Primer on Mass Spectrometry Based Proteomics
Dave Goodlett - University of Washington
Nov 20
Density Forecast Combination, Calibration, and Recalibration
Roopesh Ranjan - University of Washington
Final Exam - CMU 120
Model-Based Clustering for Online Crisis Identification in Distributed Computing
Dawn Woodard - Cornell University
Nov 12
A Comparison of Alternative Methodologies for Estimation of HIV Incidence
Nicole Bohme Carnegie - University of Washington
Final Exam - FSH 108
Nov 9
Estimation of Social Contact Networks to Improve Influenza Simulation Models
Models for Heterogeneity in Heterosexual Partnership Networks
Ryan Admiraal - University of Washington
Recommender Systems for Fun and Profit
Chris Volinsky - AT&T Research
Nov 6
Statistical Models for Estimating the HIV/AIDS Prevalence and the At-risk Population Size
General Exam - CMU 120
Nov 2
Seeking a Predictive Theory for Adaptive Evolution
Paul Joyce - University of Idaho
Oct 23
Image Segmentation Applied and Semi-Supervised Learning
Susan Holmes (Joint with EE) - Stanford University
Seminar - EEB 303
Combining Multidimensional Scaling and Distances Between Trees
Susan Holmes (Joint with Biostatistics) - Stanford University
Seminar - HST T-747
Oct 19
Optimal and Fast Detection of Spatial Clusters with Scan Statistics
Guenther Walther - Stanford University
Approximate Bayesian Computation Under Model Uncertainty, with Application to Protein Network Evolution
Sylvia Richardson (Joint with Biostatistics) - Imperial College London
Oct 5
Tail Risk Budgeting
R. Douglas Martin - University of Washington
Departmental Introductions
Statistics/Biostatistics Seminar - University of Washington
Statistical Models for Social Network Data and Processes
Pavel Krivitsky - University of Washington
Final Exam - LOW 115
Aug 18
Factor Model Monte Carlo Methods for General Fund-of-Funds Portfolio Management
Yindeng Jiang - University of Washington
10:30 am
Geostatistical Model Averaging
William Klieber - University of Washington
Portfolio Optimization and Asset Pricing with Skewed Fat-Tailed Distributions
Menfing Zhu - University of Washington
Jul 16
Meta-Analysis: Statistical Methods for Combining the Results of Independent Studies
Ingram Olkin (Joint with Biostatistics) - Stanford University
Jun 11
Approximate Inference Algorithms for Graphical Models
Ming Su - University of Washington
General Exam - EEB M-306
Jun 10
Modeling Competition in Forest Development
Statistical Analysis of Portfolio Risk and Performance Measures - The Influence Function Approach
Shengyu Zhang - University of Washington
A Flexible Framework for Bayesian Learning and Estimation Using Gaussian Graphical Models
General Exam - LOW 106
Jun 1
Parallel Computing at the UW: The Missing User\'s Manual
Hana Sevcikova, Dustin Lennon and Mark Handcock - University of Washington
Conditional Tests for Localizing Trait Genes
Yanming Di - University of Washington
Final Exam - THO 119
May 26
General Exam - SIG 225
Communication in Statistics: The Role of Reproducible Research and Dynamic Documents
Deborah Nolan (Joint with Biostatistics) - University of California, Berkeley
Bayes Assisted Goodness of Fit
Richard Lockhart - Simon Fraser University
May 8
Probabilistic Weather Forecasting Using Bayesian Model Averaging
J. McLean Sloughter - University of Washington
Final Exam - SMI 105
May 4
Spatial Modelling Using Gaussian Markov Random Fields: Applied to Seabed Estimation
Johan Lindström - University of Washington and Lund University
May 1
Postulating Monotonicity in Bayesian Nonparametric Regression
Elja Arjas - University of Helsinki and National Institute for Health and Welfare
Apr 27
Impact of Climate Change on Pacific Northwest Hydropower
Matthew Markoff & Alison Cullen - University of Washington
Apr 20
An Empirical Process Approach to Uniform in Bandwidth Consistency of Kernel-Type Estimators
Julia Dony - Free University of Brussels (VUB), Belgium
Apr 13
Probabilistic Forecasting of Wind Power Generation: The Points of View of Forecasters and of Forecast Users
Pierre Pinson - Technical Institute of Denmark
Apr 6
A Survey of Goodness-of-fit Tests for Point Process Models for Earthquake Occurrences
Frederic (Rick) Paik Schoenberg - University of California
Mar 30
Inference in Gaussian Covariance Graph Models
Bala Rajaratnam - Stanford University
Mar 9
User Preference and Search Engine Latency
Jake Brutlag - Google
Mar 2
Statistical Issues in the Analysis of Contingency Tables
Adrian Dobra - University of Washington
Feb 23
How a Paper Can Come About
Feb 9
Probabilistic Forecasts of Wind Speed: Ensemble Model Output Statistics using Heteroskedastic Censored Regression
Thordis Thorarinsdottir - University of Washington
Large-Scale Prediction Problems
Bradley Efron - Stanford University
Jan 26
Testing for Sparse Normal Means: Is There a Signal?
Jon Wellner - University of Washington
Jan 12
Mean, Median, Mode, More
Tilmann Gneiting - University of Washington
2008
Dec 4
Learning Transcriptional Networks from the Integration of ChIP-chip and Expression Data in a Nonparametric Model
Ahrim Youn - University of Washington
Dec 2
Semiparametric Copula Models for Diverse Types of Dependent Data
Dec 1
Estimation of the Relative Risk and Risk Difference
Thomas Richardson - University of Washington
Nov 24
Two Related Problems Involving Gaussian Markov Random Fields
Håvard Rue - Norwegian University of Science and Technology
Estimating Common Functional Principal Components in a Linear Mixed Effects Model Framework
Spatial Data Assimilation for Regional Environmental Exposure Studies
Kate Calder - Ohio State University
The Theory of Statistics: Some Challenges
Sir David Cox (Joint with Biostatistics) - Nuffield College, Oxford, UK
Seminar - HSA A-420
Nov 3
Probabilistic Rainfall Forecasting
Max Little - University of Oxford
Hypothesis Testing in Algebraic Statistical Models
Oct 20
A Monte-Carlo Approach for Computing Strategies with Convex Constraints
Soumik Pal - University of Washington
Oct 13
Philosophy of Probability and its Relationship (?) to Statistics
Krzysztof Burdzy (Joint with Mathematics) - University of Washington
Oct 6
The Role of Statisticians in International Science Policy
Peter Guttorp (Joint with Biostatistics) - University of Washington
Seminar - MUS 213
Sep 29
Hierarchical Eigenmodels for Pooled Covariance Estimation
Aug 20
Spatio-Temporal Modelling of Precipitation using Gaussian Markov Random Fields
Johan Lindstrom - Lund University, Sweden
Seminar - HSF F-643
Extensions of Latent Class Transition Models with Application to Chronic Disability Survey Data
Toby White - University of Washington
Estimates and Projections of the Total Fertility Rate
Leontine Alkema - University of Washington
Jul 31
Inference in Network-Based Respondent-Driven Sampling
Krista Gile - University of Washington
Jul 28
Statistical Solutions to Some Problems in Medical Imaging
Larissa Stanberry - University of Washington
Jul 22
Nicole Bohme - University of Washington
General Exam - PDL C-14
Jul 21
Statistical Methods for Peptide and Protein Identification Using Mass Spectrometry
Qunhua Li - University of Washington
Final Exam - KNE 019
Jun 25
Models and Inference of Transmission of DNA Methylation Patterns in Mammalian Somatic Cells
Audrey Fu - University of Washington
Combining Probability Forecasts
Finding Low-Dimensional Structure in High-Dimensional Data
Ann Lee - Carnegie Mellon University
Seminar - MLR 301
May 19
Robust Quantile Regression with Non-Elliptical Covariates
Matias Salibian-Barrera - University of British Columbia
May 12
Inference in High-Dimensional Settings: Trade-offs Between Computational and Statistical Efficiency
Martin Wainwright - University of California, Berkeley
May 5
Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach
Hendrik Wolff - University of Washington
Apr 28
Estimating Exploitation Rates of a Migrating Population of Yellowtail Flounders Using Multi-State Mark-Recapture Methods Incorporating Tag Loss and Variable Reporting Rates
Laura Cowen - University of Victoria
Statistical Methods for Analyzing Incomplete Financial Data with Heavy Tails
Apr 21
Towards Causal Inference with Interference
M. Elizabeth Halloran - Fred Hutchinson Cancer Research Center & University of Washington
Apr 14
Online Prediction Under Model Uncertainty Via Dynamic Model Averaging
Adrian Raftery - University of Washington
Apr 7
The Rarity of DNA Profiles
Bruce Weir - University of Washington
Mar 31
Risk Tuning with Generalized Linear Regression
Terry Rockafellar - University of Washington
Mar 18
Nonparametric Estimation of Multivariate Monotone Densities
Marios Pavlides - University of Washington
Mar 10
Optimal Start of Treatment Based on Time-Dependent Covariates
Judith Lok - Harvard School of Public Health
Seminar - MOR 220
Computational Methods for the Detection of Positive and Lineage-Specific Selection from Genomic Sequence Data
Adam Siepel - Cornell University
Sparse Recovery Problems in Statistical Learning Theory
Vladimir Koltchinskii - Georgia Institute of Technology
Envelope Crossing Distributions for Gaussian Fields
Krzysztof Podgorski - Lund University
Second-Order Accurate and Robust Indirect Inference
Veronika Czellar - Group HEC, Paris
Consensus Ranking Under the Exponential Model
The Multivariate Generalized Propensity Score: Estimating Dose-Response Functions from Longitudinal Data
Erica Moodie (Joint with Biostatistics) - McGill University
Jan 17
Probabilistic Wind Forecasting Using Bayesian Model Averaging
Permutation-Invariant Regularization of Large Covariance Matrices
Liza Levina - University of Michigan
Jan 7
A Spatio-Temporal Point Process Model for fMRI Data
Thordis Linda Thorarinsdottir
2007
Probabilistic Projections of Fertility Using a Bayesian Hierarchical
Nov 26
Bayesian Nonparametric Modelling with the Dirichlet Process Regression Smoother
Mark Steel - University of Warwick
Formation-Dissolution Models for Dynamic Network Processes
General Exam - MLR 316
Nov 19
Statistical Foundations of Distance-Based Phylogenetics
Lior Pachter - University of California, Berkeley
Selecting Covariance Models by Sparse Regression
Pei Wang (Joint with Biostatistics) - Fred Hutchinson Cancer Research Center
Nov 8
Efficient Linear Regression for Time-to-Event Data Under Length-Biased Sampling
Michael Kosorok (Joint with Biostatistics) - University of North Carolina at Chapel Hill
Structure-Based Characteristics and Time Series Clustering
Catherine Wang - University of Melbourne, Australia
Log-Linear Models for Heterogeneity in Bipartite Networks
Survival Analysis and Length-Biased Sampling: An Application to Survival with Dementia
Masoud Asgharian - McGill University
Graphs of Climate Change, and How to Read Them
Seminar - ALB AUD
Point Process Models for Astronomy: Quasars, Coronal Mass Ejections, and Solar Flares
Angela Hugeback - Google
Statistics at Google
Jake Brutlag & Mike Meyer - Google
Nonparametric Estimation of a Convex Bathtub-Shaped Hazard Function
Hanna Jankowski - University of Washington
Survey of Generalized Inverses and Their Use in Stochastic Modelling
Jeff Hunter - Massey University, Auckland, New Zealand
Sep 27
Kick-Off Seminar
David Yanez (Joint with Biostatistics) - University of Washington
Sep 25
‘Up-and-Down’ and the Percentile-Finding Problem
Assaf Oron - University of Washington
Sep 17
General Exam - KNE 019
Sep 7
Latent Class Transition Model Extensions with Covariates for the Chronically Disabled U.S. Elderly Population
Jul 19
Bayesian Hierarchical Curve Registration
Donatello Telesca - University of Washington
Wavelet Variance Analysis for Time Series and Random Fields
Debashis Mondal - University of Washington
Jun 29
Robust Statistics and Heavy-Tailed Distributions in Portfolio Optimization
Chris Green - University of Washington
Jun 22
Jump Estimation in Inverse Regression Models
Axel Munk - Georg August Universitaet, Goettingen, Germany
Jun 15
Probablistic Weather Forecasting with Spatial Dependence
Veronica Berrocal - University of Washington
On Monotonicity Constraints in High-Dimensional Optimization: Convexity and Mixture Models
May 31
Statistical Methods in Medical Imaging: Application to Mammography
Estimating Epidemic Potential with Contact Tracing Data from Networks
General Exam - SAV 311
Dependence Orderings and Their Applications
Subhash Kochar - Portland State University
Seminar - SAV 249
May 14
Probabilistic Forecasting in Meteorology
Barbara Brown - National Center for Atmospheric Research, Boulder, Colorado
Lévy Noise Induced Transitions Between Meta-Stable States in Stochastic (Partial) Differential Equations
Peter Imkeller - Humboldt University, Berlin, Germany
A Bayesian Approach to Map Multiple QTL in Pedigreed Plant Breeding Populations
Marco Bink - Wageningen University & Research Centre, The Netherlands
Wishart Distributions for Decomposable Graphs
Helene Massam - York University, Canada
Pacific Northwest Statistics Meeting - Statistical Distributions and Models: Assessment and Applications
J Spinelli, F O\'Reilly, J Petkau, & T Anderson
Seminar - NULL Theatre
D Brillinger, L Rivest, J Lawless, & R Lockhart
BART: Bayesian Additive Regression Trees
Hugh Chipman - Acadia University
Apr 9
Empirical Process Limits Under Model Misspecification
Priors and Predictive Performance: An Integrated Procedure to Identify Robust Growth Determinants
Theo Eicher - University of Washington
Feb 26
Assessment of Scaling in High Frequency Data: Convex Rearrangements in the Wavelet Domain
Brani Vidakovic - Georgia Institute of Technology
Seminar - SMI 102
2:45 pm
Learning Transcriptional Regulatory Modules from the Integration of ChIP-Chip and Gene Expression Data
Ah-Young Youn - University of Washington
General Exam - SAV 151
Robust Inference Using Higher Order Influence Function
Lingling Li - Harvard School of Public Health
Random Tomography and Structural Biology
Victor Panaretos - University of California, Berkeley
Jan 29
Statistical Modeling in Setting Air Quality Standards
Jim Zidek - University of British Columbia
Assessing Spatial Heterogeneity of Evolutionary Processes: Smoothing with Markov Fields and Jumping on Markov Chains
Vladimir Minin - University of California, Los Angeles
Seminar - SMI 205
Statistical Methodology for Longitudinal Social Network Data
Anton H. Westveld - University of Washington
Jan 8
Functional Principal Component Analysis for Longitudinal Data Truncated by Event-Time
Jane-Ling Wang - University of California, Davis
2006
Bayesian Hierarchical Self-Modeling Warping Regression with Application to Network Inferences
Dec 12
Algorithms for Estimating the Cluster Tree of a Density
Rebecca Nugent - University of Washington
Approximate Bayesian Inference and Optimal Design in the Sparse Linear Model
Matthias Seeger - Max Planck Institute for Biological Cybernetics, Tuebingen, Germany
Learning in Spectral Clustering
Susan Shortreed - University of Washington
Final Exam - THO 235
Nov 27
A GCV Approach for Bandwidth Selection in Positron Emission Tomography Image Reconstruction
Ranjan Maitra - Iowa State University
Feature Selection Through Lasso: Model Selection Consistency and the BLasso Algorithm
Bin Yu - University of California, Berkeley
On the Geometry of Log-Linear Models
Alessandro Rinaldo - Carnegie Mellon University
Modeling of Pathways and Regulatory Dynamics, With Applications to the Salt-Loving Extremophile Halobacterium NRC-1
David Reiss - Institute for Systems Biology, Seattle
Oct 30
Regularized Covariance Matrix Estimation
Peter Bickel - University of California, Berkeley
De Finetti\'s Ultimate Failure
Krzysztof Burdzy - University of Washington
Oct 16
Identification of Minimal Sets of Covariates for Matching Estimators
Xavier de Luna - Umea University
Oct 9
Bootstrap and Subsampling for Non-Stationary Spatial Data
Sara Sjoestedt-de Luna - Umea University
Oct 2
Non-Stationary Analysis and Radial Localisation in 2D
Sofia Olhede - Imperial College, London
Aug 11
Likelihood Inference for Population Structure, Using the Coalescent
Arindam Roy Choudhury - University of Washington
8:00 am
Exploring Rates and Patterns of Variability in Gene Conversion and Crossover in the Human Genome
Garrett Hellenthal - University of Washington
Aug 7
Influence Functions in Finance: Statistical Analysis of Portfolio Risk and Performance Measures
Jul 26
TBD
Adam Glynn - University of Washington
Jun 7
Nonparametric Estimation for Current Status Data with Competing Risks
Marloes Maathuis - University of Washington
Jun 6
Goodness-of-Fit Statistics Based on Phi-Divergences
Leah Jager - University of Washington
Final Exam - LOW 111
An Efficient and Flexible Model for Patterns of Population Genetic Variation
Paul Scheet - University of Washington
Final Exam - SAV 241
May 30
Variable Selection and Other Extensions of the Mixture Model Clustering Framework
Nema Dean - University of Washington
Final Exam - BAG 331-A
May 22
The PRISM Approach to Climate Mapping in Complex Regions
Christopher Daly (Joint with Atmospheric Sciences) - Oregon State University
The Multivariate Skew Normal Distribution and Some Extensions
Antonella Capitanio - University of Bologna, Italy
Reliability Reloaded
Sallie Keller-McNulty - Brown
Uncertainty and Evidence in Latent Variable Problems
Elizabeth Thompson - University of Washington
Apr 24
Bayesian Mixed Models for Functional Data
Jeffrey Morris - MD Anderson Cancer Center
Apr 17
Probabilistic Forecasts, Calibration and Sharpness
Apr 10
Modelling Claim Frequency and Claim Size in Insurance Including Spatial Effects
Claudia Czado - Munich University of Technology, Germany
Apr 3
Bayesian Component Selection in High Dimensional Models
Michael Smith - University of Sydney
Mar 6
A Method for Sufficient Dimension Reduction in Large-p-small-n Regressions
Bing Li - Pennsylvania State University
Inference for State-Space Models for Wild Animal Populations
Carmen Fernandez
The Singular Value Decomposition of a Covariance Matrix in Screening for Fetal Alcohol Spectrum Disorders from Corpus Callosum Shape and Neuropsychological Deficits in Adolescents and Adults
Paul Sampson - Department of Statistics, University of Washington
Latent Factor Models for Relational Data
Jan 30
Measuring National Environmental Performance: Statistical Considerations
Tanja Srebotnjak - Yale
Jan 23
Automatically Detecting and Genotyping Genetic Variants (SNPs) by Sequencing of Diploid Samples
Matthew Stephens - University of Washington
The Role of Reversal in Statistics: Two Vignettes
2005
Likelihood Inference for Population Structure, Using Coalescent
The Up-and-Down Percentile-Finding Method: Stochastic Properties, Estimation and Design
Random Effects Graphical Regression Models for Biological Monitoring Data
Devin S. Johnson - Alaska Fisheries Science Center, NOAA
Robust Covariance Matrix Estimation with Applications in Finance
Bayesian Survival Modeling of the Time-Dependent Effect of a Time-Dependent Covariate
Sebastien Haneuse - Group Health Cooperative
Spatial Statistical Models that Use Flow and Stream Distance
Jay Ver Hoef - National Marine Mammal Laboratory
Alternative Models for Estimating Genetic Maps from Pedigree Data
William Stewart - University of Washington
Final Exam - MLR 302-B
Consistency and Rates of Convergence for Maximum Likelihood Estimators via Empirical Process Theory
Jon A. Wellner - University of Washington
Some Challenges in Environmental Statistics
Random Effects Models for Social Network Analysis
Marijtje Van Duijn - University of Groningen
Robust Estimation of Factor Models in Finance
Heiko Bailer - University of Washington
Allele-Sharing Methods for Linkage Detection Using Extended Pedigrees
Saonli Basu - University of Washington
Jul 15
Using the Structure of d-Connecting Paths as a Qualitative Measure of the Strength of Dependence
Sanjay Chaudhuri - University of Washington
Peptide Sequencing Using Tandem Mass Spectrometry
Jun 30
Scenario Based Stochastic Programming Analysis for Asset Liability and Wealth Management
William T. Ziemba - Massachusetts Institute of Technology
Seminar - BLM 209
Jun 8
Recovery of Item Rankings Under Nonnormal Fitting Distributions in MML Parameter Estimation
David Dailey (MS Thesis Presentation) - University of Washington
Analysis of Haplotype Structure: Application to the DARC Gene Region
Ting-Yuan Liu (MS Thesis Presentation) - University of Washington
Robust Bayesian Analysis of Gene Expression Microarray Data
Raphael Gottardo - University of Washington
Unbiased and Biased Estimators of the Wavelet Variance, with Application to Marine Atmospheric Boundary Layer Turbulence
Eric Aldrich - University of Washington
Seminar - GWN 301
A General Overview of Microsoft Treasury - From Investing $65 Billion in Assets to Managing the Associated Risks
George Zinn - Microsoft
Seminar - MGH 295
May 9
Binary Tree-Structured Statistical Methods and the Genetics of Hypertension
Richard Olshen - Stanford University
Attractive Floating Rate Funding Through \"Reverse Inquiry\" Deals
Andrew Kalotay - Andrew Kalotay Associates
Seminar - BLM 414
Using Unlabelled Data to Update Classification Rules with Applications in Food Authenticity Studies
Brendan Murphy - Trinity College, Dublin
4:30 pm
Singular Stochastic Control and Related PDE with Gradient Constraints in Portfolio Optimization
Michael Taksar - University of Missouri
Seminar - THO 119
Apr 26
On a New Type of Correlation, Its Orthogonal Decomposition and Associated Tests of Independence
Wicher Bergsma - EURANDOM, Eindhoven, The Netherlands
Variable Selection for Model-Based Clustering
General Exam - EEB 031
When is an Outlier Not an Outlier? Connections Between Robust Estimation, Outlier Detection, and False Discovery Rates
Ken Rice - University of Washington
Value-at-Risk Prediction: A Comparison of Alternative Strategies
Stefan Mittnik - University of Munich
Frequency Domain Inference for Seasonally Persistent Processes
David Stephens - Imperial College, London
Feb 28
The Zero-Information-Limit Condition and Spurious Inference in Weakly Identified Models
Charles R. Nelson - University of Washington
A Modification of the EM Algorithm with Applications to Spatio-Temporal Modeling
Stas Kolenikov (Joint with CSSS) - University of North Carolina at Chapel Hill
3:45 pm
Combining Individual and Ecological Data - Design and Causality
General Exam - THO 202
On Potts Model Clustering, Kernel K-means, and Density Estimation
Alejandro Murua
Feb 14
Binary Models for Marginal Independence
Alternatives to GMM: Properties of Minimum Divergence Estimators
Giuseppe Ragusa (Joint with CSSS) - University of California, San Diego
Feb 7
Analyzing Gene Expression Data Using Categories
Robert Gentleman - Fred Hutchinson Cancer Research Center
Marginal Models for Categorical Data
Tamas Rudas - University of Washington
Population Genetic Variation: A Computationally Tractable Model for Large Samples Typed at Many Loci
Fuzzy p-Values and the Detection of Genetic Linkage
Jan 19
Clustering with Confidence
Jan 18
Pricing Options in Incomplete Markets: Regression with Constraints
Stanislav Uryasev - University of Florida
Seminar - LOW 222
Jan 10
Regularized Spectral Learning
2004
Dec 15
In Search of the Magic Lasso: The Truth About the Polygraph
Stephan E. Fienberg (Joint with CSSS) - Carnegie Mellon University
Seminar - SAV 209
FDA Workshop
J. O. Ramsay - McGill University
Seminar - NULL SFU
From Data to Dynamic Models
Maximizing Equity Market Sector Predictability in a Bayesian Time-Varying Parameter Model
Georgios Sakoulis - UBS O\'Connor
Seminar - BLM 311
Estimation and Examination of Longitudinal Social Network Data Covariance Structures
Anton Westveld - University of Washington
Probability and Inference for Random Fields
Probabilistic Weather Forecasting
Nov 18
Modeling Gene Conversion with the PAC Likelihood
Garrett Hellenthal (MS Thesis Presentation) - University of Washington
Seminar - THO 217
Tests Against Inequality Constraints When Some Nuisance Parameters are Present Only Under the Alternative Hypothesis
Mervyn Silvapulle - La Trobe University
The Market for Mergers and the Boundaries of the Firm
David Robinson - Duke University
Seminar - BLM 313
A New Permutation-Based Solution for ANOVA in Unreplicated Designs
Dario Basso - University of Padova, Italy
International Asset Allocation Under Regime Switching, Skew and Kurtosis Preferences
Allan Timmermann - University of California, San Diego
Permutation Methods for the Analysis of Variance
Cliff Lunneborg - University of Washington
Oct 28
Robust Statistics in Finance and Robust Factor
An Introduction to Graphical Markov Models and Model Selection
Multivariate Normal Mixture Distributions and Their Copulas: Applications to Financial Modelling
Alexander McNeill - ETH, Zurich
Oct 14
Self-Exciting Processes for Extremes in Financial Time Series
Alexander McNeil - ETH Zurich
Seminar - BLM 413
Statistics in Aviation - Celebrating 100 Years of Flight
Fritz Scholz (Special Statistics Seminar) - University of Washington
Oct 7
Financial Risk Management, Derivatives and the Clearing Price of Risk
Michael Morrow - Microsoft Treasury
Aug 25
Goodness of Fit Through Empirical Likelihood: Berk-Jones, Reversed Berk-Jones, and Generalizations
Jul 20
Competing Risk Current Status Data
General Exam - BLM 413
MS Thesis Presentation - Simple Transformation Techniques for Improved Non-parametric Regression
George Barnidge - University of Washington
Seminar - SMI 305
MS Thesis Presentation - Hierarchical Mixture of Experts and Applications
MS Thesis Presentation - A Non-Parametric Approach for Handling Repeated Measures in Cancer Experiments
Justin Okano - University of Washington
May 27
Hammersley\'s Process with Sources and Sinks
Piet Groeneboom
Boosting Algorithms and Predictive Modeling
Yoav Freund - Columbia University
Nonparametric Estimation of a k-Monotone Density: New Asymptotic Distribution Theory
Fadoua Balabdaoui - University of Washington
Introduction to Graphical Models
Mathias Drton (Graduate Student Seminar) - University of Washington
May 18
Assessing the Detrended Fluctuation Analysis Method of Estimating the Hurst Coefficient
Nathaniel Derby (MS Thesis Presentation) - University of Washington
On Corrected Score Approach for Proportional Hazards Model with Covariate Measurement Error
Xiao Song - University of Washington
Susan Shortreed (Graduate Student Seminar) - University of Washington
Mortgage-Backed Securities Renancing and the Arbitrages in the Swaption Market
Jefferson Duarte - University of Washington Business School
Nonparametric Probability Density Estimation: Theory, Modeling and Computation
Michael Casey (Joint with Optimization) - University of Puget Sound
Seminar - LOW 111
Robust Betas and Alphas
General Exam - SAV 341
Data Analytic Issues for Mass Spectrometry-Based Proteomic Measurements
Martin McIntosh - Fred Hutchinson Cancer Research Center
Heiko Bailer (Graduate Student Seminar) - University of Washington
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Final Exam - SAV 245
On the Dating of Galileo’s Scientific Documents
Steen Andersson - University of Indiana
McLean Sloughter (Graduate Student Seminar) - University of Washington
Calibrated Probabilistic Weather Forecasting Using Ensemble Model Output Statistics (EMOS) and Minimum CRPS Estimation
A New Goodness of Fit Test: The Reversed Berk-Jones Statistic
Leah Jager (Graduate Student Seminar) - University of Washington
Introduction to Model-Based Clustering
Nema Dean (Graduate Student Seminar) - University of Washington
Online Customer Behavior: Measurement and Methodology
Andreas Weigend - Formerly of Amazon.com
Mar 17
Map Estimation and Genotype Error Detection From Genetic Data on Pedigrees
William C.L. Stewart - University of Washington
General Exam - SAV 245
Liquidity Risk and Asset Pricing
Ronnie Sadka - University of Washington Business School
Learning the \"Epitome\" of an Image
Brendan J. Frey - University of Toronto
2003
Dec 8
What is Algebraic Statistics?
Seth Sullivant - University of California, Berkeley
Bent-Cable Regression for Assessing Abruptness of Change
Grace Chui - University of Washington
Filtering for Point Processes and Its Applications
Zhiyi Chi - University of Chicago
Parallel Programming in R - An Easy Way of Accelerating Statistical Simulations
Hana Sevcikova - University of Washington
Approaches to Jointly Modeling Longitudinal and Survival Data
Elizabeth Brown - University of Washington
Probabilistic Weather Forecasting Using Ensembles and Bayesian Model Averaging
Open Problems in the Modeling of Social Networks
Mark Handcock - University of Washington
Some Ideas for Improving Cluster Analysis
Werner Stuetzle - University of Washington
Point Process Models in Ecological and Environmental Sciences
Half-Baked Ideas for Improving Portfolio Construction
Douglas Martin - University of Washington
Where is Environmental Statistics Going?
Seminar - CMU 120
Identifying Important Variables and Interactions in Black Box Functions
Art Owen - Stanford University
Mark Roulston - Oxford University
A Statistician Looks at Meiosis
Terry Speed - University of California, Berkeley
A Recipe for Combining Classifiers
Alejandro Murua - Insightful Corporation
Is Ignorance Bliss?
Jay Kadane - Carnegie Mellon University
Nonparametric Bayesian Classification
Marc Coram - University of Chicago
Seminar - LOW 106
Properties of General Wishart Models on Homogeneous Cones
Pragmatic Bayesian Designs For Clinical Trials
Lurdes Y.T. Inoue - University of Washington
Stochastic Models That Separate Fractal Dimension and Hurst Effect
Numbers and Reasons: Why Some Quantitative Scientific Arguments Seem to Work so Well
Fred L. Bookstein - University of Vienna & University of Michigan
Seminar - BAG 260
Feb 24
Bayesian Analysis of Multi-Model Ensembles for Assessing Uncertainty in Climate Change Projections
Claudia Tebaldi - National Center for Atmospheric Research
Considerations and Approaches Regarding the Deconvolution of an Unknown Function of One Variable From a Finite Set of Measurements
Brad Bell - University of Washington
Semiparametric Hierarchical Bayes Analysis of Discrete Panel Data with State Dependence
Ivan Jeliazkov - Washington University in St. Louis
Feb 3
What is the \'True Price\'? - State Space Models for High Frequency Financial Data
John Moody - Oregon Health & Science University
Prediction Error: Covariance Penalties and Cross-Validation
Bradley Efron - University of Washington
Jan 27
Recidivism and Social Interactions
Sibel Sirakaya - University of Wisconsin - Madison
Efficient Semiparametric Estimation of Quantile Treatment Effects
Sergio Firpo - University of California, Berkeley
Jan 13
Statistical Estimation From an Optimization Viewpoint
Lisa Korf - University of Washington
2002
Causal Inference with General Treatment Regimes: Generalizing the Propensity Score
Kosuke Imai - Harvard University
Nov 25
Statistical Rules of Thumb
Gerald van Belle - University of Washington
Modeling Atmospheric Circulation Changes Over the North Pacific
Don Percival - University of Washington
Accounting for Degree Distributions in Empirical Analysis of Network Dynamics
Tom Snijders - University of Groningen, The Netherlands
Seminar - RAI 121
Nov 4
Copulas and Tail Dependence and Applications in Finance
Alexander McNeil - ETH, Zurich
Model-Based Clustering of Magnetic Resonance Data
Ron Wehrens - University of Nijmegen, The Netherlands
Statistical Factor Models and Predictive Approaches for Problems of Molecular Characterisation
Mike West - Duke University
Markov Random Fields and Issues of Computation
Brian Lucena - University of Washington
What are the Effects of \'Bagging\'? Some Theoretical and Experimental Results
Finding Optimal Bayesian Networks with Greedy Search
David Maxwell Chickering - Microsoft Research
Robust Indirect Inference
Marc Genton - North Carolina State University
Supervised Learning with Measurement and Misclassification Costs
Thomas G. Dietterich - Oregon State University
Ɛ-Statistics and t-Statistics
Gabor Szekely - Bowling Green State University
Application of Independent Component Analysis in Functional MRI
Dietmar Cordes - University of Washington
On the Toric Algebra of Graphical Models
Chris Meek - Microsoft Research
The State of Statistics in Inference of Phylogenies: Fisher Meets Not Only Bayes but Popper and Hennig as Well
Joe Felsenstein - University of Washington
Seat-Biases of Apportionment Methods for Proportional Representation
Point Process Transformations and Applications to Wildfire Data
Rick Paik Schoenberg - University of California, Los Angeles
Overdetermined Estimating Equations with Applications to Panel Data
Dylan Small - Stanford University
Mar 4
Randomized Kernel Functions
Dimitris Achlioptas - Microsoft Research
Accounting for Information Accumulation and Rater Behavior in Constructed Response Student Assessments
Louis Mariano (Joint with CSSS) - Carnegie Mellon University
The GoM Model: Latent Class Representation and Implications for Bayesian Estimation
Elena Erosheva (Joint with CSSS) - Carnegie Mellon University
Support Vector Methods for Reinforcement Learning
Thomas Dietterich - Oregon State University
The Covariance Structure of Circular Ranks
Marlos Viana - University of Illinois - Chicago
2001
Bayesian Learning About Ideal Points of U.S. Supreme Court Justices, 1953-1999
Kevin Quinn - University of Washington
Mixed Effects Models Using Bayesian Nonparametrics
On the Geometry of Generalised Linear Models
Graham Wood - Massey University, New Zealand
Maximum Entropy Discrimination
The Haplotyping Problem
The Sloan Digital Sky Survey: Results and Challenges
Tom Quinn - University of Washington
Unsupervised Learning: Estimating the Cluster Tree of a Density by Analyzing the Minimal Spanning Tree of a Sample
Applied Statistics Research and Development At Pacific Northwest National Laboratory
Tom Ferryman (Joint with CSSS & Biostatistics) - Pacific Northwest National Labs, Richland, WA
Seminar - HST 639
Logistic Regression with Covariate Measurement Error: Estimation and a New Measurement Model
Elizabeth Sugar - University of Washington
2:20 pm
Bayesian Inference for Deterministic Simulation Models for Environmental Assessment
Samantha Bates - University of Washington
Final Exam - CMU 326
Directed Markov Point Processes
Gopalan Nair (Joint with NRCSE) - University of California, Santa Barbara
Jun 28
Estimation in Generalized Linear Mixed Models: Comparison of Maximum Likelihood with Iterative Bias Correction
Kerrie Nelson - University of Washington
Identification of an Infinite AR Model
Yulia Gel (Joint with CSSS) - St Petersburg State University, Russia
Jun 21
Estimation with Bivariate Interval Censored Data
Shuguang Song (Joint with CSSS) - University of Washington
Jun 20
Is the Classical t-Test of the Slope Really Invalid in Linear Regression Models?
Gulhan Alpargu (Joint with CSSS) - McGill University, Montreal, Quebec
Extended Linear Modeling with Splines
Charles J. Stone - University of California, Berkeley
Seminar - LOW 105
State Space Mixed Models for Longitudinal Observations with Binary and Binomial Responses
Claudia Czado - University of Technology, Munich, Germany
May 29
The Distribution of Channel Capacity for Transmit/Receive Array Antennas
Kit Withers (Joint with Electrical Engineering) - Industrial Research Limited, New Zealand
Seminar - ART 003
Model Based Document Clustering
Jeremy Tantrum - University of Washington
General Exam - ART 003
In Memory of Lucien Le Cam (1924 - 2000): Seven of Le Cam\'s Theorems Every Statistician Should Know
Seminar - LOW 201
Latent Models for Cross-Covariance
Jacob A. Wegelin - University of Washington
Final Exam - THO 125
The Forensic and Statistical Science of Evidence Derived from Fragments of Glass
Chris Triggs - University of Auckland
Estimating Local Trends in Large Environmental Spatial Temporal Databases
Ernst Linder (Joint with NRCSE) - University of New Hampshire
Probabilities on Pedigrees: What? How? and Why?
Empirical Margin Distributions and Bounding the Generalization Error in Learning Problems
Vladimir I. Koltchinskii - University of New Mexico
Importance Sampling Approaches to Missing Data Problems
Russell Steele - University of Washington
General Exam - DEN 314
Causal Inference From Graphical Time Series Models
Michael Eichler - University of Heidelberg
Likelihood Ratio Inference for Current Status Data and Related Models Involving Nonparametric Estimation of a Monotone Function
Moulinath Banerjee (Joint with Biostatistics) - Department of Statistics
Bayesian Multidimensional Scaling and Choice of Dimension
Molecular and Fossil Estimates of Primate Divergence: A Reconciliation
Oliver Will (Joint with Biostatistics) - University of Southern California
Mar 26
Part 1: Overview of Adaptive Algorithms Lab at the University of Toronto --- Part 2: ALGONQUIN: Fast Variational Methods for Robust Speech Recognition or Variational Methods Explained using Cartoons
Brendan Frey (Joint with Computer Science & Engine - University of Waterloo
Mar 12
On Model Determination for Spatial and Spatio-temporal Data
Alan Gelfand (Joint with NRCSE) - University of Connecticut
Loss Functions for Estimation of Extremes in Disease Mapping
Hal Stern (Joint with Biostatistics & CSSS) - Iowa State University
Nonparametric Estimation of the Time to the Discovery of a New Species
Nicolas Hengartner (Joint with CSSS) - Yale University
Pairwise Clustering by Random Walks
Marina Meila - Department of Statistics, University of Washington
Seminar - PDL C-401
Applying Graphical Models to Partially Observed Data Generating Processes
Ayesha Ali - University of Washington
Some Functionals of Brownian Motion Connected with Estimation of Montone and Convex Functions
Jon Wellner - Department of Statistics, University of Washington
Seminar - SMI 111
Risk and the Eighteenth Century French Lottery: Napoleon Meets his Chi-Square
Steve Stigler - University of Chicago
The Strength of Evidence Found by Searching a Database
Chris Triggs - University of Auckland, New Zealand
Missing Data in Morphometrics
Fred Bookstein - University of Michigan
Georges Matheron, the Father of Geostatistics
Paul Sampson (Joint with NRCSE) - University of Washington
Markov Equivalence Classes for Bayesian Belief Networks
Steven Gillispie - Department of Mathematics, University of Washington
Before-After-Control-Impact Analysis in Ecology
Paul Murtaugh (Joint with NRCSE) - University of Washington
2000
Bikernel Oscillation Analysis for the Mixture Complexity
Wavelet Based Estimation for Trend Contaminated Long Memory Processes
Peter Craigmile - University of Washington
Final Exam - SWS 032
Apportionment Methods in Proportional Representation: A Majorization Representation
Ingram Olkin (Joint with CSSS) - Stanford University
Estimation in Restricted Parameter Spaces: Some History and Some Recent Developments
Constance van Eeden - University of British Columbia
Seminar - PAR 108
1:45 pm
Contributions to Statistical Literacy
June Morita - University of Washington-Bothell
Likelihood Ratio Inference for Monotone Functions in a Class of Non-Regular Problems
Moulinath Banerjee - University of Washington
Final Exam - MOR 221
Remarks on the Philosophy of Bayesian Decision Making
Markov Models and Data-Generating Processes
Estimation with Bivariate Interval Censored Data: Bivariate Current Status Data
Shuguang Song - University of Washington
General Exam - MEB 243
On the Correlation Between U.S. Tornadoes and Pacific Sea Surface Temperatures
Caren Marzban (Joint with NRCSE) - University of Oklahoma
Some Aspects of John Tukey\'s Work in Multivariate Analysis
7:00 pm
On Coincidences
Seminar - KNE 210
What Do We Know About the Metropolis Algorithm?
Probability by Surprise: The Pleasure of Paradoxes
Susan Holmes - Stanford University
Seminar - AND 022
Confidence Regions for Phylogenetic Trees
Probability, Statistics and the Zeros of the Zeta Function
Sharpening Buffon\'s Needle
Research Day - Part II
Tilmann Gneiting & Shuguang Song - University of Washington
Sep 28
Welcoming Seminar
Departments of Statistics & Biostatistics - University of Washington
Research Day - Part I
Jon Wellner & Russell Steele - University of Washington
Logic Regression and Statistical Issues Related to the Protein Folding Problem
Ingo Ruczinski - University of Washington
Final Exam - SMI 113
Aug 3
Detecting and Extracting Complex Patterns from Images and Realizations of Spatial Point Processes
Daniel Walsh - University of Washington
Final Exam - LOW 102
Bayesian Inference in Hidden Stochastic Population Processes
Daniela Golinelli - University of Washington
Jul 27
A Model Selection Approach to Partially Linear Regression
Florentina Bunea - University of Washington
Final Exam - THO 325
Jul 14
Ergodic Limit Laws for Stochastic Optimization Problems
Chris Jennison - University of Bath, UK
Global Covariance Modeling: A Deformation Approach to Anisotropy
Barnali Das - University of Washington
Likelihood Inference for Parameteric Models of Dispersal
Beatrix Jones - University of Washington
Final Exam - LOW 101
Environmental Standards from a Statistical Point of View
Peter Guttorp (Joint with CSSS) - University of Washington
Likelihood Ratio Inference in a Class of Non-Regular Problems
General Exam - THO 325
Model Selection Procedures in Non-parametric Regression
Marten Wegkamp - Yale University
Perspectives on Causal Inference and Longitudinal Interventions
Babette Brumback (Joint with CSSS) - University of Washington
Inference in Case-Control Studies with Limited Auxilliary Information
Gary King (Joint with CSSS) - Harvard University
Seminar - PAA A-110
Parrondo\'s Paradox: Winning Mixtures of Losing Games
Ron Pyke (Joint with Biostatistics) - University of Washington
Geographical Analysis and Ethical Dilemmas in the Study of Childhood Leukemias in Great Britain
Julian Besag (Joint with CSSS) - University of Washington
Gini Association and the Pseudo-Lorenz Curve
Somesh Das Gupta - Indian Statistical Institute
Association and Aggregation Analysis Using Kin-Cohort Designs with Applications to Genotype and Family History Data from the Washington Ashkenazi Study
Nilanjan Chatterjee (Joint with Biostatistics) - National Cancer Institute
Nonhomogeneous Hidden Markov Models for Downscaling Synoptic Atmospheric Patterns to Precipataion Amounts
Enrica Bellone - University of Washington
Final Exam - SMI 407
Lisa Korf (Joint with Mathematics) - University of Washington
Efficient Unsupervised Learning in High Dimensions with Trees and Mixtures
Marina Meila (Joint with Computer Science) - Carnegie Mellon University
Why Do Model Ensembles Work?
Pedro Domingos (Joint with CSSS) - University of Washington
Curve Fitting and Neuron Firing Patterns
Robert Kass - Carnegie Mellon University
Classification by Opinion-Changing Behavior: A Mixture Model Approach
Jennifer Hill (Joint with CSSS) - Harvard University
Analysis of Spectral Data via Wavelets and a Functional Linear Model
Tony Cai - Purdue University
Seminar - BLM 304
Bayesian Partition Modeling
David Denison - Imperial College of Science Technology and Medicine, London
Seminar - KNE 120
Crack Markets and the Diffusion of Guns Among Youth
Daniel Cork (Joint w/ CSSS, School of Social Work) - Carnegie Mellon University
Seminar - SWS 026/030
NY School Choice: An Example of the Link Between Observational Studies and Randomized Experiments
Jennifer Hill (Joint w/ CSSS, School of Social Wor - Harvard University
Seminar - SWS 306 A/B
Computationally-Intensive Inference in Molecular Population Genetics
Matthew Stephens - University of Oxford
Constrained Nonparametric Estimation via Mixtures, with an Application in Cancer Genetics
Peter Hoff - University of Wisconsin - Madison
The Marriage Model: A Two Sided Model of Opportunity and Choice
Peter Hoff (Joint with CSSS) - University of Wisconsin - Madison
The Relationship Between Count-Location and Stationary Renewal Models for the Chiasma Process
Sharon Browning - Texas A&M University
1999
Logic Regression
Dec 6
An Empirically Accurate Computation Model of Multiparty Electoral Competition
Kevin Quinn (Joint with CSSS) - Harvard University
Bayesian Analysis of Deterministic Models
Model-Based Clustering, Image Denoising, Feature Detection in Spatial Point Processes, and Datamining
Adrian Raftery & Chris Fraley - University of Washington
Allele Sharing Methods for Estimating Population Size
Hans Skaug - Institute of Marine Research, Bergen, Norway
7:30 pm
To Sample or Not to Sample? Why is That the Question for Census 2000?
Steve Fienberg - Carnegie Mellon University
Estimating the Size of Populations
Steve Fienberg (Joint with CSSS) - Carnegie Mellon University
Seminar - PAA A-118
Trend Estimation Using Wavelets
Some Non-Standard Statistical Problems
Beatrix Jones & Michael Perlman - University of Washington
Estimating Posterior Densities and Marginal Likelioods Using Markov Chain Monte Carlo Sampling
Man-Suk Oh - Ehwa University, Seoul, Korea
A Cautionary Note on the Usage of Imputation Estimators
Naisyin Wang - Texas A&M University
Picture the Future - Graphical Innovation in Environmental Statistics
A Likelihood Approach to Control Charts
Moshe Pollak (Joint with NRCSE) - The Hebrew University of Jerusalem
Oct 4
R. Douglas Martin, Alejandro Murua, & Jake Wegelin - University of Washington
Biostatistics and Statistics Students and Faculty Introductions
Barbara McKnight - University of Washington
Elizabeth Thompson, Beatrix Jones, & Peter Craigmi - University of Washington
Bayesian Inference in Hidden Linear Birth-Death Processes
General Exam - THO 335
Aug 5
Generalization of Boosting Algorithms and Applications of Bayesian Inference for Massive Datasets
Gregory Ridgeway - University of Washington
A Direct Search Method for Projection Pursuit Guided Tour Optimization
Jean-Yves Pip Courbois - Oregon State University
Bayesian Inference in Non-Invertible Deterministic Simulation Models, with Application to Bowhead Whale Assessment
David Poole - University of Washington
Final Exam - CMU 226
Jun 23
Modeling Cross-Covariance by Pairs of Latent Variables
Jacob Wegelin - University of Washington
General Exam - BLM 307
Jun 18
Monte Carlo Likelihood Calculation for Identity by Descent Data
Sharon Browning - University of Washington
General Exam - THO 334
Fast Automatic Unsupervised Image Segmentation and Curve Detection in Spatial Point Processes
Derek Stanford - University of Washington
Final Exam - LOW 201
Estimating the Influence of Social Networks on Migration Decisions
Alberto Palloni (Joint with CSDE) - University of Wisconsin
9:15 am
General Exam - EEB 218
Reducing Bias and Variance Using Adaptive Bagging
Leo Breiman - University of California, Berkeley
Minimizing Downside Risk via Stochastic Dynamic Programming
John Moody - Oregon Graduate Institute of Science and Technology
Networks and HIV: The Structure of Transmission
Martina Morris (Joint with Sociology) - Pennsylvania State University
Relative Distribution Methods in the Social Sciences
Mark Handcock (Joint with Sociology) - Pennsylvania State University
Scanning and Modeling the Human Body for Mass Customization of Garments
Time Scale Analysis
Guy Nason - University of Bristol
Modern Robust Regression with Applications in Finance
A Resampling Procedure for Nonparametric Combination of Several Dependent Tests
Fortunato Pesarin & Luigi Salmaso - University of Padova, Italy
Methods for Boosting and Massive Dataset Bayesian Inference
The Distribution of Robust Distances
Johanna Hardin - University of California, Davis
Issues in Reversible Jump Markov Chain Monte Carlo and Composite EM Analysis, Applied to Spatial Poisson Cluster Process
John Castelloe - SAS Institute, Inc.
Algorithms and Software for the Automated Identification of Minerals Using Field Spectra or Hyperspectral Imagery
Mark Berman - CSIRO, Sydney, NSW, Australia
Information Measures for Object Recognition Accommodating Signature Variation
Matthew Cooper - Johns Hopkins University
Semiparametric Inference Based on Estimating Equations in Regressions Models for Two Phase Outcome Dependent Sampling
Nilanjan Chatterjee - University of Washington
Web-Site Management Based on Declarative Specifications
Alon Levy - University of Washington
Capture-Recapture Estimation of Bowhead Whale Population Size Using Photo-Identification Data
Cibele Queiroz da Silva - University of Washington
Final Exam - EEB 222
Randomized Polya Trees: Bayesian Nonparametrics for Exploration of Multidimensional Structures
Susan Paddock - Duke University
Bayesian Inference for Multivariate Categorical Data
Jonathan Forster - University of Southampton
Feb 19
A Framework for Nonparametric Regression Using Neural Networks
Herbert Lee - Carnegie Mellon University
Lifetime and Disease Onset Distributions from Incomplete Observations
Antonio Eduardo Gomes - University of Washington
Feb 18
Statistical Methods for Shape Analysis
Dean Billheimer - Boeing Phantom Works
The Bayesian Approach To Population Pharmacokinetic Modeling
Jon Wakefield (Joint with Biostatistics) - Imperial College, School of Medicine
Maximum Likelihood Estimation for Parametric Migration Models
General Exam - GLD 435
Modeling Inherited Susceptibility to Breast Cancer
Giovanni Parmigiani (Joint with Biostatistics) - Duke University
Statistical Methods for a Cancer Mutagenesis Experiment
Michael Newton (Joint with Biostatistics) - University of Wisconsin - Madison
The Global Pairwise Approach to Radiation Hybrid Mapping
Rob Tibshirani - Stanford University
Modeling Spectrograms for Speech Recognition
Alejandro Murua - University of Washington
1998
Accounting for Inaccuracies in Population Counts and Case Registration in Cancer Mapping Studies
Jon Wakefield - Imperial College, School of Medicine
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
Dan Geiger - Microsoft Research
A Semiparametric Method for Two Phase Studies
Methods for Detecting Features in Spatial Point Processes, with an Application to Minefield Detection
General Exam - BLM 203
The Emperor\'s New Tests: A Defense of the Likelihood Ratio Criterion
Nov 11
On the Geometry of Graphical Models
MCMC Estimation of Stochastic Volatility Models
Eric Jacquier - Boston College
Graphical Models from Phylogenies, Coalescents, and Migration
Joe Felsenstein - Department of Genetics
Particulate Matter Measurement Error, Correlation, and Confounding: How Serious a Problem?
Allan Marcus - U.S. Environmental Protection Agency
Consistent Estimation of Markov Order
Paul Shields - University of Toledo, Ohio
Seminar - CMU B-004
Graphical Markov Models for Partially Observed Data Generating Mechanisms
Oct 26
The Shannon Estimator: Consistent Estimation of Markov Order
David Donoho - Stanford University
A Survey of the Markov Properties of Directed, Undirected, and Mixed Graphs
Counterfactuals and Bayesian Graphical Models
David Madigan - University of Washington
An Introduction to Option Pricing: Black-Scholes, Biniomial Trees and Other Comments
Plug-In Quadratic Discriminant Functions in Multivariate Analysis
Donald Richards - University of Virginia
Hierarchies of FKG Inequalities
Aug 17
Active Mixture Models for Multichannel Image Data
Kingshuk Roy Choudhury - University of Washington
Final Exam - EEB 031
Application of Ridge Regression for Improved Estimation of Parameters in Compartmental Models
Angshuman Saha - University of Washington
Aug 4
Bayesian Modeling of Highly Structured Systems using Markov Chain Monte Carlo
Simon Byers - University of Washington
Space-Time Analysis of Forest Fires
Carlos Diaz Avalos - University of Washington
Assessing Nonstationary Time Series Using Wavelets
Brandon Whitcher - University of Washington
Jul 1
Lattice Conditional Independence Models for Incomplete Multivariate Data and for Seemingly Unrelated Regressions
Lang Wu - University of Washington
Hidden Markov Models for Precipitation
General Exam - JHN 123
Estimation for Counting Processes with Incomplete Data
Ying Zhang - University of Washington
Analysis of a Strategy for Sequencing the Human Genome
Richard Karp - University of Washington
Bayesian Exploration of Heterogeneity, With the Aid of Variable Dimension MCMC
Peter Green (Joint with Biostatistics) - University of Bristol
Exact Sampling From a Continuous State Space
Peter Green - University of Bristol
Regression Modeling and Validation Strategies, with an Interactive Analysis of Titanic Passenger Survival
Frank Harrell, Jr. - University of Virginia, School of Medicine
Independent Component Analysis
Jean-Francois Cardoso - CNRS/ENST
Analysis of Sequence-Tagged-Connector Strategies for DNA Sequencing
Andy Siegel - University of Washington
Perfect Sampling of Harris Recurrent Markov Chains
R.L. Tweedie - Colorado State University
Seminar - THO 202
Self-Targeting Candidates for Metropolis-Hastings Algorithms
R.L. Tweedie & O. Stramer - Colorado State University & University of Iowa
Monte Carlo Likelihood for Identity-by-Descent Data
General Exam - BLM 306
Capture-Recapture Estimation of Bowhead Whale Population Size and Adult Survival Rate Using Photo Identification Data
Automated Recognition of Bioacoustic Signals
Alejandro Murua - University of Chicago
Statistics at the Boeing Company
Roberto Altschul - Boeing
Overview of the Intent and Goals of the Programme on Neural Networks and Machine Learning at the Isaac Newton Institute
A Bayesian Approach to Combining Multiple Sources of Evidence for Quantities Linked by a Non-invertible Deterministic Model
General Exam - THO 234
Technology for Teaching and Learning Statistics
David Moore - Purdue University
Seminar - MUE 153
A Deterministic Model of Trunk Water Flow in an Old Growth Douglas Fir: Model Assessment, Quantifying Uncertainty and Parameter Estimation
Craig Aumann - University of Washington
General Exam - PAR 313
Assessment of Multi-Dimensional Point Process Models with Applications to Seismology
Fredric Schoenberg - University of California, Berkeley
Empirical Processes and p-Variation
Dick Dudley - Massachusetts Institute of Technology
Ridgelets: Theory and Applications
Emmanual Candes - Stanford University
Seminar - THO 134
Regularization Techniques for Linear Regression with a Large Set of Carriers
Sylvain Sardy - University of Washington
Final Exam - PAR 313
Likelihood and Confidence
Tore Schweder - University of Oslo
The Art of Data Augmentation
Xiao-Li Meng (Joint with Biostatistics) - University of Chicago
Jan 15
Compound Poisson Approximation for Occurrences of Multiple Words in DNA Sequences
Gesine Reinert - University of California, Los Angeles
The Error Coding Method and Majority Vote Classifiers
Gareth James - Stanford University
1997
Data Mining & KDD: So What\'s New?
Usama Fayyad - Microsoft Research
Prim-9: The Early Days of Data Visualization
General Exam - THO 235
Semiparametric Methods for Missing Data Problems and Their Applications to Multi-Phase Designs
General Exam - SMI 105
Variety in Maximum Likelihood Estimation for High Dimensional Models
Susan Murphy - Pennsylvania State University
Profile Likelihood Inference in High Dimensional Models
Convex Regression and Strange Brownian Functionals
Piet Groenboom - Delft University of Technology
Tools for the Advancement of Undergraduate Statistics Education
Andrew Schaffner - University of Washington
Final Exam - SAV 211
Practical Analysis of Extreme Values (With Applications to Earthquakes, Windspeed Modeling)
Jan Bierlant - Univeristy of Leuven
Seminar - BAG 422
Jul 23
Statistical Inference for Partially Observed Markov Populations Processes
Sandra Catlin - University of Washington
Final Exam - CMU 332
Jul 17
Bayesian Information Retrieval
Michelle Keim - University of Washington
Final Exam - CMU 228
Statistical Challenges in Analyzing Stratospheric Ozone Data at Mid-Latitude
Wendy Meiring - National Center for Atmospheric Research
Jun 13
Multiscale Testing of Physical Processes Using the Discrete Wavelet Transform
General Exam - LOW 113
Lattice Conditional Independence Models for Missing Observations in Categorical Data, in Continuous Data, and for Seemingly Unrelated Regressions
General Exam - LOW 111
Bayesian Model Averaging in Censored Survival Models
Christopher Volinsky - University of Washington
Final Exam - THO 335
Speed Bumps on the Road to Meritocracy: Occupational Mobility of Women and Men in the U.S., 1972-1994
Michael Hout - University of California, Berkeley
Inequality by Design: Cracking the Bell Curve Myth
Estimation for Counting Processes Based on Incomplete Data
General Exam - CMU 332
Recent Advances in Causal Modelling Using Directed Graphs
Peter Spirtes - Carnegie-Mellon University
Costner and the Structure of the Unobserved
Clark Glymour - Carnegie-Mellon University
Causal Inference from Imperfect Studies with Nonignorable Treatment Assignment
Donald Rubin - Harvard University
Techniques for Drawing Causal Inferences from Imperfect Studies
Morphological and Bayesian Approaches in Image Restoration
Florence Forbes - LMC/IMAG
Characterizing Selection Bias Using Experimental Data
James Heckman - University of Chicago
Identifying And Estimating Counterfactuals in the Social Sciences: The Role of Rational Choice Theory
Statistical Models for Randoms-Precorrected PET (and a Saddle-Point Approximation)
Jeffrey Fessler - University of Michigan
Spatial Statistics
Tilman Gneiting - Universitat Bayreuth
Some Log-Linear and Log-Nonlinear Models for Ordinal Scales with Midpoints, with an Application to Public Opinion on the Environment
Michael Sobel - University of Arizona
Causal Inference in the Social and Behavioral Sciences
Bayesian Analysis of Spatial Variation and Discrepant Data using MCMC Methods
General Exam - THO 119
Gibbs Sampling for Subsequence Resemblance: Application to Rhetorical Sequences
Andrew Abbott - University of Chicago
The Causal Devolution
The Logic of Cause and Effect: Unifying Counterfactual, Graphical and Structural Models
Judea Pearl - University of California, Los Angeles
From a Century of Statistics to the Age of Causation
The Walking Dog Model, Tetrad Differences, and Sibling Resemblance
Robert Hauser - University of Wisconsin
Ability and the American Dream: Has Anything Changed?
Efficient Estimation of Normalizing Constants from Markov Chain Monte Carlo Draws
Florin Vaida - University of Chicago
Stochastic Models for the Triplet Repeat Expansion in Huntington\'s Disease
Simon Tavare - University of Southern California
Polychotomous Classifiers and PACTS
Trevor Hastie - Stanford University
Cointegration and Forward and Spot Exchange Rate Regressions
Eric Zivot - University of Washington
Markovian Models for Resource Sharing
Florence Forbes - University of Washington
The Efficient Use of Conditioning Information in Portfolios
Wayne Ferson & Andy Siegel - University of Washington
Jan 16
Regression with a Large set of Carriers
General Exam - THO 101
Causal Inference via Markov Chain Monte Carlo
David Draper - University of Bath
1996
Curve Editing and Image Querying: Two Applications of Wavelets in Computer Graphics
Adam Finkelstein - University of Washington
Spectrum Estimation by Wavelet Thresholding of Multitaper Estimators
Donald Percival - University of Washington
A Random Effects Individual Differences Multidimensional Scaling Model
Douglas Clarkson - MathSoft, Inc.
Application of Ridge Regression in Compartmental Models
General Exam - THO 135
Tecumseh\'s Revenge, Paul Bunyan\'s Dog, and Seismic Deformation Estimation
Tim Hesterberg - MathSoft, Inc.
The Statistical Analysis of Preference Data
Ross Taplin - Murdoch University
The Use of Hidden Markov Models in Scientific Applications
Reference Priors in non-Normal Location Problems
Carmen Fernandez & Mark Steel - Tilburg University
First Seminar: Academic Year 1996 - 1997
Tom Fleming (Joint with Biostatistics) - University of Washington
General Exam - SWS 032
Benchmarks, Facets, and the World-Wide Web: Tools for the Advancement of Undergraduate Statistics Education
On Bayesian Modelling of Fat Tails and Skewness
Explicit Limit Results for Markov Chains and Other Markov Processes
Valerie Stefanov - University of Western Australia
Composite Models for the Distribution of Species
David Newman - Boeing Information and Support Services (Retired)
Broken Symmetries: SEMS (Structural Equation Models), MEMS (Mixed Effects Models), and the Longitudinal Lens
Gary Donaldson - Department of Statistics, University of Washington
On the Density of the Maximum of Smooth Gaussian Processes
Christian Posse - University of Washington
A Hidden Two-Dimensional Irreversible Stochastic Compartment Model
Hierarchical Partition Models
Guido Consonni - University of Pavia
Computing the Observed Fisher Information in Graphical Models with Incomplete Data Using Markov Chain Monte Carlo Methods
Heidi Anderson - Aalborg University
Split Models - An Extension of Graphical Models
Soren Hojsgaard - Aalborg University
Inferences From the Distribution of Variant Alleles in Human Populations
Elizabeth Thompson (Joint with Biostatistics) - University of Washington
Pacific Northwest Statistics Meeting 1996
P Gustafson & R Olshen
Seminar - HUB Aud
A Unified Approach to Representing the Structure of Markov Equivalence Classes
Thomas Richardson - Carnegie Mellon University
Apr 1
Monte Carlo Meets Quasi-Monte Carlo
Mar 27
Large Sample Theory for Pseudo-Maximum Likelihood Estimates in Semiparametric Models
Hui-lin Hu - University of Washington
General Exam - RAI 107
Mar 25
The Effect of Trimming in the Central Limit Theorem
Galen Shorack - University of Washington
A Theory for Texture Modeling and Random Field Approximation
Yingnian Wu - Harvard University
Local Discriminant Bases and Their Aapplications
Naoki Saito - Schlumberger-Doll Research
Prediction, Intervention and Discovery
Christopher Meek - Carnegie Mellon University
Seminar - SAV 239
Modeling the Correlation Structure of the TOMS Ozone Data
Dongping Fang - University of Chicago
Bootstrapping Functional M-Estimators
Yihui Zhan - University of Washington
Final Exam - THO 211
Optimal Predictive Selection
Triograms: Bivariate Function Estimation Through the Use of Spline Spaces Defined Over Adaptively Constructed Triangulations
Mark Hansen - Lucent Technologies
A Gibbs Sampling Approach to the Genetic Mapping of Genes Affecting Quantitative Traits
Simon Heath - University of Washington
Chemometrics and Statistical Thinking
Nicolaas Faber - University of Washington
An Alternative Markov Property for Chain Graphs
Hazard and Density Estimation for Bivariate Survival Data
Charles Kooperberg - University of Washington
Dynamic Modelling of Multicategorical Data: Some Aspects and Applications
Leonhard Knorr-Held - Universitat Munchen