Statistics Seminar

“Prior-free Probabilistic Inference: Inferential Models”
Dr. Chuanhai Liu, Purdue University

Date: Thursday, March 12, 2015
Time: 3:30 PM – 4:30 PM
Location: 165 Everitt
Sponsor: Department of Statistics; Annie Qu, and Bo Li

Abstract: Developing solid foundations for scientific inference is the most fundamental but unsolved problem in statistics. We argue for two basic principles for truly prior-free probabilistic inference and introduce a new framework, which is built upon the two principles and called Inferential Models (IMs). It follows as a remark that IM bridges the gap between the Bayesian and frequentist schools of thought that has been previously considered impossible. In this talk, we introduce IMs with simple illustrative examples.

* This is joint work with Ryan Martin at UIC.

http://illinois.edu/calendar/detail/1439?eventId=32297522&calMin=201503&cal=20150309&skinId=1