Introduction to Bayesian Statistics

The course introduces the fundamentals of Bayesian inference. It covers simple Bayesian models and complicated models, including linear regression and hierarchical models. Bayesian computational methods, especially Markov Chain Monte Carlo methods will be discussed. Emphasis will also be placed on model checking and evaluation for public health research applications.

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