Credit Hours: 3Provides an in-depth introduction to statistical modeling and inference with linear models. Bayesian statistics, and related methods including simple linear regression, multiple regression, ANOVA, polynomial regression, Bayesian linear regression, MCMC algorithm, and sampling methods. Background knowledge in probability and statistics.
