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.
ISBN: 9780521773621
Authors:
Judea Pearl
Publisher: Cambridge University Press
Date of Publication: 2000-03-13
Format: Hardcover
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.
Condition guide
Book Condition Guide
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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!
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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.
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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.
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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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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.
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