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

Apr. 27th, 3:30 PM
Seminar presented by David Afshartous
At Amazon’s Inventory Planning and Control Laboratory (IPC Lab) we run randomized controlled trials (RCTs) that evaluate the efficacy of in-production buying and supply chain policies on important business metrics. Our customers are leading supply chain…
May. 4th, 3:30 PM
Seminar presented by Ellie Smotherman, Kelty Spencer, Melissa Tumas
May. 11th, 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

Abstract: Statistical methods are developed for assessing the likelihood of prejudicial bias in agent-assigned permutations, such as the ordering of candidates on an election… more

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

Recent News

Elena Erosheva (PI) and Carole Lee (co-PI) have been awarded a $260,000 grant from the National Science Foundation’s Science of Science Policy Program. Their project on “… more

Undergraduate Statistics majors in Principal Lecturer June Morita’s winter quarter course, STAT 341, took a field trip to visit the National Oceanographic and Atmospheric Administration's (NOAA)… more

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