Applied Bayesian Statistics
Statistics College of Physical and Mathematical Sciences
Bayesian analogs of t-tests, regression, ANOVA, ANCOVA, logistic regression, and Poisson regression implemented using Nimble, Stan, JAGS and Proc MCMC.
Write code in R
Students will be able to generate their own analysis of Bayesian models in R.
Understand, Explain, and Demonstrate
Students will be able to understand, explain and demonstrate basic Bayesian theory and its usefulness in real-world applications.
Fit and Interpret Bayesian Model
Students will be able to apply, implement and interpret a fully Bayesian approach to relevant statistical problems, including design, model selection, model fit steps.