STAT 486
Introduction to Bayesian Analysis
University of Nebraska-Lincoln · UGRD · Fall 2026
1 section
Catalog description
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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001
Availability not recently verifiedClass #nebraska_lincoln-STAT486Fall 2026UGRD3 credits
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