Ⅰ. Introduction to Bayesian Variable Selection
Date & Time: January 26 @ 1:00 pm - 2:00 pm KST
Place: B378 Seminar room, IBS, 55 Expo-ro Yuseong-gu, Daejeon, 34126, Republic of Korea
Abstract: Variable selection is an approach to identifying a set of covariates that are truly important to explain the feature of a response variable. It is closely connected or belongs to model selection approaches. This talk provides a gentle introduction to Bayesian variable selection methods. The basic notion of variable selection is introduced, followed by several Bayesian appraches with a simple application example.
