Master Class: Weakly informative priors

SpeakerAndrew Gelman
AffiliationColumbia University
DateWednesday, 16 Apr 2014
Time12:00 - 13:00
LocationGalton LT (Room 115), 1-19 Torrington Place
Event seriesMaster Class: Andrew Gelman (14 - 16 April 2014)
Description

A challenge in statistics is to construct models that are structured enough to be able to learn from data but not be so strong as to overwhelm the data. We introduce the concept of "weakly informative priors" which contain important information but less than may be available for the given problem at hand. If there is time, we also will consider some related problems in developing general models for taxonomies and deep interactions. We consider how these ideas apply to problems in social science and public health.

All welcome, no registration required to attend this talk.

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