Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical
analyses from a Bayesian perspective. Using examples largely from the authors' own …

This book originated from a set of lecture notes for a one-quarter graduatelevel course
taught at the University of Washington. The purpose of the course is to familiarize the …

An engaging, sophisticated, and fun introduction to the field of Bayesian statistics, Bayes
Rules!: An Introduction to Applied Bayesian Modeling brings the power of modern Bayesian …

A hands-on introduction to computational statistics from a Bayesian point of view Providing a
solid grounding in statistics while uniquely covering the topics from a Bayesian perspective …

This book provides an accessible approach to Bayesian computing and data analysis, with
an emphasis on the interpretation of real data sets. Following in the tradition of the …

This chapter provides a general overview of Bayesian statistical methods. Topics include the
notion of probability from a Bayesian perspective, Bayesian inference and hypothesis …

Bayesian Statistical Methods provides data scientists with the foundational and
computational tools needed to carry out a Bayesian analysis. This book focuses on …

This book is based on over a dozen years teaching a Bayesian Statistics course. The
material presented here has been used by students of different levels and disciplines …

Life was simple when I became a Bayesian in the 1970s; it was possible to track virtually all
Bayesian activity. Preparing this paper on Bayesian statistics was humbling, as I realized …

This book describes the Bayesian approach to statistics at a level suitable for final year
undergraduate and Masters students. The first chapter presents a comparison with …