This course is designed for analysts who are familiar with R and Bayesian statistics at the introductory level, and need to incorporate Bayesian methods into statistical models. Using R and RJAGS, you will learn how to specify and run Bayesian modeling procedures using regression models for continuous, count and categorical data including: linear regression, Poisson, logit and negative binomial regression, and ordinal regression.
Dr. Peter Congdon
Dr. Peter Congdon is a Research Professor in Quantitative Geography and Health Statistics at Queen Mary University of London. He is the author of several books and numerous articles in peer-reviewed journals. His research interests include spatial data analysis, Bayesian statistics, latent variable models, and epidemiology.