Causality - Models, Reasoning, And Inference

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Unleashing the power of causal analysis

This book is a must-read for anyone interested in understanding the intricacies of causality. The author presents a comprehensive coverage of causal analysis using various approaches and devises simple mathematical tools for analyzing causal connections and statistical associations. The book will be particularly useful for professionals and students in the fields of statistics, business, social science, and economics who wish to integrate causal analysis into their standard curriculum. Users would likely appreciate the book's clear explanations and its practical applicability in various fields.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.

Causality - Models, Reasoning, And Inference

Regular price $6.06
Unit price
per
ISBN: 9780521773621
Authors: Judea Pearl
Date of Publication: 2000-03-13
Format: Hardcover
Related Collections: Science, Philosophy
Related Topics: Mathematics
Goodreads rating: 4.14
(rated by 297 readers)

Description

Written by one of the pre-eminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.
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Similar Reads

Unleashing the power of causal analysis

This book is a must-read for anyone interested in understanding the intricacies of causality. The author presents a comprehensive coverage of causal analysis using various approaches and devises simple mathematical tools for analyzing causal connections and statistical associations. The book will be particularly useful for professionals and students in the fields of statistics, business, social science, and economics who wish to integrate causal analysis into their standard curriculum. Users would likely appreciate the book's clear explanations and its practical applicability in various fields.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.