: Covers the theoretical groundwork and provides insights into probabilistic reasoning, including its importance in fields like the legal system.
: Provides discussions on common modeling errors and methods for evaluating causal discovery programs. 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. : Covers the theoretical groundwork and provides insights