ABSTRACT

Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents

chapter 1|12 pages

Introduction: Probability and parameters

chapter 2|20 pages

Monte Carlo simulations using BUGS

chapter 3|24 pages

Introduction to Bayesian inference

chapter 5|22 pages

Prior distributions

chapter 6|18 pages

Regression models

chapter 7|16 pages

Categorical data

chapter 8|48 pages

Model checking and comparison

chapter 9|34 pages

Issues in Modelling

chapter 10|34 pages

Hierarchical models

chapter 11|44 pages

Specialised models

chapter 12|32 pages

Different implementations of BUGS