Introduction to Bayesian Inference

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STAT 410 and STAT 405 or COMP 210 or COMP 140 or COMP 130 Description: This course is an introduction to Bayesian inference, with emphasis on concepts and methods for analyzing data. We will consider a variety of models, including MCMC algorithms and methods for linear regression and hierarchical models. Computational methods will be emphasized. Recommended Prerequisite(s): STAT 411 or CAAM 335 or MATH 355→STAT 425→unlocks 0 courses

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