Introduction to Bayesian Methods and Applications.. (3-0) 3 Credit Hours

Catalog description

Prerequisite: STA 3523 and STA 4233 . An introduction to Bayesian inference, with emphasis on practical aspects: probability and uncertainty, conditional probability and Bayes' Rule, single parameter and multiple parameter Bayesian analysis, posterior analysis for commonly used distributions, comparison of Bayesian and frequentist methods, Bayesian t-tests, Bayesian analysis of variance, Bayesian linear regression, hands-on Bayesian data analysis using appropriate software, including R, JASP, and Just another Gibbs sampler (JAGS). This course has Differential Tuition. Course Fee: DL01 $75.