Statistics Surveys

Associate Editors interests / areas list -- version 3 -- 3/8/07


Peter Bickel
   large p small n inference
   asymptotic theory
   semiparametric models


Tony Cai
   nonparametric function estimation
   high dimensional inference 
   sparse inference
   decision theory

Noel Cressie
   spatial statistics
   environmental statistics

Dorota Dabrowska
   quantile estimation 
   transformation models 
   copula models
   longitudinal data
   survival analysis 
   counting processes
   rank regression
   U-statistics
   M-estimation
   local likelihood methods

Anirban DasGupta
    asymptotic theory and expansions
    false discovery
    basis pursuit
    Bayes theory
    classical inference
    probability inequalities
    statistical issues in astronomy 

Jianqing Fan
  large p small n inference

Ed George
   Bayesian inference
   model selection
   regression

Subhashis Ghoshal   
  Bayesian theory 
  objective prior distributions
  applications of Bayesian methodology 
  Bayes methods:  curve estimation
  Bayes methods:  high dimensional data
  Bayes methods:  clustering
  Bayes methods:  multiple hypothesis testing
  Bayes methods:  biomedical applications

Vladimir Koltchinskii
  statistical learning theory 
  model selection 
  high dimensional statistics 
  probability inequalities

Michael Kosorok  
  empirical processes
  semiparametric inference
  model selection 
  model misspecification
  large p small n inference 
  inference under non-identifiability
  change-point models

John Marden
  multivariate analysis
  multivariate rank procedures
  cluster analysis

Wendy Martinez
   exploratory data analysis
   statistical computing
   multi-dimensional scaling
   smoothing
   data tours
   clustering
   visualization 

Per Mykland 
  financial mathematics and statistics
  inference for stochastic processes

Dominique Picard
  wavelets 
  nonparametric regression
  change point models


Donald Richards
   multivariate analysis
   discriminant analysis 
   probability inequalities
   distribution theory 
   statistics on manifolds
   computational statistics
   genetic algorithms
   incomplete data 
   astrophysical data

Qi-Man Shao
   self-normalized limit theory
   Monte Carlo studies
   bootstrap
   general M-estimates
   normal approximation
   strong approximation
   small deviations
   Gaussian processes

Xiaotong Shen
  machine learning 
  supervised learning
  semisupervised learning
  unsupervised learning
  data mining 
  nonparametric statistics
  likelihood methods
  semiparametric models
  engineering applications

Simon Tavar\'e
  statistical genetics
  Bayesian inference for phylogenetic trees

Grace Wahba  
  statistical model building
  regularization methods  
  machine learning 

Jon Wellner
   large sample theory in statistics
   empirical processes
   probability in Banach spaces
   efficient estimation for semiparametric models
   shape constraints

Yuhong Yang
   nonparametric function estimation
   adaptive procedures
   model selection
   models selection:  applications

Cun-Hui Zhang
   shape restricted inference
   L_1 regularized methods
   nonparametric regression
   nonparametric density estimation