Objectives
– Demystifying Bayesian statistics and MCMC methods
– Differentiate between Bayesian and frequentist analyses
– Understanding the Methods section of a paper using Bayesian methods
– Implementing Bayesian analyses with R

Program :
– Bayesian inference: motivation and simple example
– Likelihood
– A detour through a priori distributions
– Markov chain Monte Carlo (MCMC) methods
– Bayesian analysis with R and the NIMBLE and brms software packages
– Generalized linear mixed models