STAT 486

Introduction to Bayesian Analysis

University of Nebraska-Lincoln · UGRD · Fall 2026

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Principles of Bayesian analysis including forming posteriors from priors and likelihoods. Bayesian estimation, testing, linear regression, and hierarchical models. Computing posterior distributions using existing software and standard classes of algorithms such as MCMC.

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Class #nebraska_lincoln-STAT486Fall 2026UGRD3 credits
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