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Causality

Models, Reasoning, and Inference
Pages
384
Published
2000
Language
English

Synopsis

This book offers a thorough exploration of modern causal analysis, transforming causality from an abstract idea into a precise mathematical theory. It demonstrates the theory's wide-ranging applications in fields like statistics, artificial intelligence, economics, and the health sciences. The author unifies different approaches to causation and provides clear mathematical tools for understanding causal connections and statistical associations. This revised edition clarifies complex topics and surveys recent advancements in the field.

About the author

J
Judea Pearl

Judea Pearl is a leading figure in the field of artificial intelligence and the author of The Book of Why. His work focuses on causality and its role in understanding the world, making complex ideas accessible to a broad audience.