… This book introduces the principles of Bayesian Decision Analysis and describes how
this theory can be applied to a wide range of decision problems. It is written in two parts. The …

… we will emphasize Bayesian decision theory in the book. There exist, however, an extensively
… non-Bayes decision theory and an extensively developed nondecision-theoretic Bayesian …

Since the first edition of this book published, Bayesian networks have become even more …
use (Bayesian) causal models of risk that provide more powerful insights and better decision …

… Bayesian analysis is now appearing in clinical trials, and in a major shift, the American …
using Bayesian analysis to create clinical practice guidelines. In an early exercise, Bayesian …

… examples are used to show how Bayes' rule is actually a form of … gain an intuitive understanding
of Bayesian analysis. As an aid to … , which stems from teaching Bayes' rule to psychology …

… Bayesian approach offers candidate models to account for suboptimalities. Third, a realist
interpretation of Bayesian … review the principles of Bayesian models of decision making and …

… to graduate-level introductory books on Bayesian analysis, none has quite our blend of …
student taking a Bayesian course or just trying to find out what it means to be a Bayesian ought to …

… Bayesian estimation, hypothesis testing, and decision theory. It is here that we introduce
prior distributions, Bayes' factors, the important theorem of de Finetti, the likelihood principle, …

… Bayesian analysis is the statistical analysis that underlies the calculation of these probabilities.
… of Bayesian decision making and analysis, as applied to nutrition research and practice. …

… Overall, our book is an invitation to Bayesian decision-theoretic ideas. While we do not think
… A large number of texts in decision analysis, medical decision making, microeconomics, …