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Yi Lin : A Bayesian perspective on experimental design

Posted by Ryan Martin , part of the Graduate Statistics Seminar.

At
March 18, 2014, 3:30 p.m.
In
SEO 636
Abstract
This talk is on experimental design using a Bayesian decision theory framework. I will give an introduction on how to determine Bayesian optimal design objectives. Then I will talk about some results in the literature on the Bayesian optimal criteria for linear and nonlinear design problems.