Bayesian Artificial Intelligence, Second Edition Apr 2026

The book is structured into three primary parts to guide readers through the technology and its implementation:

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

: Details the mechanics of building and using networks for causal modeling , focusing on causal discovery and inference procedures. The book is structured into three primary parts

: Features expanded real-world applications in areas like forensic DNA identification and paternity testing. Impact and Critical Reception Bayesian Artificial Intelligence, Second Edition

Reviewers from the International Statistical Review highlight it as a vital resource for creating human-made artifacts (AI) capable of reasoning from incomplete evidence. It is widely used by researchers in statistics, engineering, and AI to address complex problems without the "overfitting" risks common in traditional machine learning.

: Provides discussions on common modeling errors and methods for evaluating causal discovery programs.