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Causality: Models, Reasoning, and Inference

by Judea Pearl
Causality: Models, Reasoning, and Inference
Causality: Models, Reasoning, and Inference

Unraveling complexities of causal relationships in sciences.

If you're fascinated by the underlying factors that drive events and phenomena in various scientific fields, then Judea Pearl's "Causality" is a treasure trove. This book doesn't just scratch the surface but dives deep into the intricacies of causal analysis, offering you lucid insights into graphical methods and probabilistic perspectives that could transform your understanding of statistics and beyond. If you're in a field that appreciates the rigor of reasoned argument and analysis, like epidemiology or economics, "Causality" might well become an indispensable reference in your intellectual toolkit.

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

by Judea Pearl
Condition guide

Book Condition Guide

Books in Like New Condition

This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Very Good Condition

This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Good Condition

We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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ISBN: 9780521773621
Authors: Judea Pearl
Publisher: Cambridge University Press
Date of Publication: 2000-03-13
Format: Hardcover
Related Collections: Science, Economics, Philosophy
Related Topics: Physics, Mathematics
Goodreads rating: 4.16
(rated by 324 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, artificial 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 UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.
 

Unraveling complexities of causal relationships in sciences.

If you're fascinated by the underlying factors that drive events and phenomena in various scientific fields, then Judea Pearl's "Causality" is a treasure trove. This book doesn't just scratch the surface but dives deep into the intricacies of causal analysis, offering you lucid insights into graphical methods and probabilistic perspectives that could transform your understanding of statistics and beyond. If you're in a field that appreciates the rigor of reasoned argument and analysis, like epidemiology or economics, "Causality" might well become an indispensable reference in your intellectual toolkit.

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.