ANLY 505 Data Simulation, Bayesian Modeling, and Inference

This course covers the basic principles of statistical modeling and inference.  The course focuses on developing and fitting several types of regression models, multilevel models, and everything in between.  Topics included in the class cover, prior predictive simulation, sampling from the posterior, interaction terms, covariance, information criteria, and Markov Chain Monte Carlo estimation.