UW Statistics  is an integral part of a thriving ecosystem of scientific and business communities working together to create opportunities for achievement and solutions for a data-driven world.

Coming Seminars

May. 4th, 3:30 PM
Seminar presented by Miguel A. Carreira-Perpinan
Deep neural nets have become in recent years a widespread practical technology, with impressive performance in computer vision, speech recognition, natural language processing and many other applications. Deploying deep nets in mobile phones, robots,…

Technical Reports

This report shows how the descent of genome from an ancestor to currently observed descendants results in identity by descent (IBD) in current individuals, and hence similarities in their DNA at… more

A classification tree is a logical tree (in the computer science sense) that encodes an order of instructions used to sort a set of data into n classes. It is a rooted binary (directed-edge) tree… more

The United Nations is the major organization producing and regularly updating probabilistic population projections for all countries. International migration is a critical component of such… more

Recent News

In honor of Women's History Month, AMSTAT News has recognized Professor Daniela Witten as one of several American Statistical… more

Congratulations to Alex Tank for winning $1000 for the Best Oral Presentation at the NIPS Time Series Workshop on the topic “An Efficient ADMM Algorithm for Structural Break Detection in… more

Congratulations to Alex Tank for winning a JSM Best Student Paper Award from the Business and Economic Statistics Section (B&E) of the American Statistical Association for his paper “Granger… more

Upcoming Courses

This course will introduce the basis on robust statistics. On top of modeling and theoretical aspects (in uence function, breaking point, depth, sensitivity curves, etc.), the course will cover some numerical optimization for implementing the introduced methods. Time permitting, each registered student will report on a topic of interest to her/him.
The first 3/4 of the course will concentrate on "classical" multivariate analysis, i.e, distribution theory and statistical inference based on the multivariate normal distribution. The last 1/4 will cover special topics of interest to the instructor and/or requested by the class. There will be several homework assignments. Time permitting, each registered student will report on a topic of interest to her/him.