part4.Rmd

# <i style="font-size: 110%; color:#990017;">Part 4:  Review of Statistical Inference</i> {-}

In this part of the book, we review the basic principles of full
Bayesian inference with MCMC sampling, approximate Bayesian inference
with variational inference, and point estimation from a maximum
likelihood and Bayesian perspective.