This book first provides a review of various aspects of Bayesian statistics. It then
investigates three types of claims reserving models in the Bayesian framework: chain ladder
models basis expansion models involving a tail factor and multivariate copula models. For the
Bayesian inferential methods this book largely relies on Stan a specialized software
environment which applies Hamiltonian Monte Carlo method and variational Bayes.
