Bayesian Inference and Modern Statistical Methods


Principles of data analysis and advanced statistical modeling. Bayesian inference, prior and posterior distributions, multi-level models, model checking and selection, stochastic simulation by Markov Chain Monte Carlo. Prerequisite: Statistical Science 210 and (Statistical Science 230 or 240L) and Mathematics 202, 202D, 212, or 222. Prerequisite or corequisite: Mathematics 216, 218, or 221.

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