Statistics Seminar: Gaussian Comparison for High-Dimensional Inference
Galen Reeves
Event Details
Date
Thursday, September 24, 2026
Time
1-2 p.m.
Location
7560 Morgridge Hall
Description
Abstract:
Gaussian comparison models connect statistical limits and algorithmic performance across high-dimensional inference problems, including networks, spiked matrices, and regression. I will introduce this perspective through the matrix tensor product model, tracing its origins in recovering latent structure from multiple networks and covariate information.
Gaussian comparison models connect statistical limits and algorithmic performance across high-dimensional inference problems, including networks, spiked matrices, and regression. I will introduce this perspective through the matrix tensor product model, tracing its origins in recovering latent structure from multiple networks and covariate information.
Cost
Free
Accessibility
We value inclusion and access for all participants and are pleased to provide reasonable accommodations for this event. Please email thomas.jilk@wisc.edu to make a disability-related accommodation request. Reasonable effort will be made to support your request.