There are many advantages to familiarity with Bayesian methods Bayesian models are a superset of classical statistical models. It is nearly impossible to analyze modern complex data structures without Bayesian ideas. Bayesian inference need not rely on asymptotic methods. Bayesian inferences naturally adjust for all uncertainty. Bayesian language provides a means to discuss modeling and model specification that is missing from classical statistics.
Bayesian methods allow pooling of information from diverse sources.
Course topics will include an overview of Bayesian philosophy, data analysis, modeling and estimation. Emphasis will be on modeling. If the class is full, and if demand requires it, I will consider opening another lab section. This in turn may require changing the class times to begin at 8am. Registration info is here , page down to Biostat 234.