Bayesian Artificial Intelligence, Second Edition -

: Covers the theoretical groundwork and provides insights into probabilistic reasoning, including its importance in fields like the legal system.

: Adds sections on Object-Oriented Bayesian Networks and foundational problems in Markov blanket discovery. Bayesian Artificial Intelligence, Second Edition

is a comprehensive textbook by Kevin B. Korb and Ann E. Nicholson that provides a practical introduction to the concepts, foundations, and applications of Bayesian networks . Published as part of the Chapman & Hall/CRC Machine Learning & Pattern Recognition series, it bridges the gap between statistical science and computer science. Core Focus and Structure : Covers the theoretical groundwork and provides insights

: Details the mechanics of building and using networks for causal modeling , focusing on causal discovery and inference procedures. Korb and Ann E

: Discusses the practical development of probabilistic expert systems. Key Updates in the Second Edition