Bayesian Data Analysis

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STAT 5101 and STAT 5147Probability models and prior distributions; updating priors through the likelihood function. Computational and simulation-based methods for deriving posterior distributions and for estimating parameters. Basic statistical and hierarchical models. Model adequacy and posterior predictive checks. Markov Chain Monte Carlo methods and introduction to JAGS and STAN or similar software. Emphasis on applications and examples from the social, biological and physical sciences. (Typi→STAT 5219→unlocks 0 courses

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