Approximate selective inference via maximum likelihood

Approximate selective inference via maximum likelihood

Neyman Seminar
Nov 2, 2022, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Snigdha Panigrahi, University of Michigan

Querying the data has become a fairly common practice for anyone who wishes to learn a model from a range of different candidates. Several strategies have been developed recently to ensure valid inferences after learning a model; some of these are easy to compute, while others fare better in terms of inferential power. In this talk, we discuss a new method for selective inference through...