| Description |
xix, 464 pages : illustrations ; 26 cm |
| Contents |
Contents: Introduction to probabilities, graphs, and causal models -- Theory of inferred causation -- Causal diagrams and the identification of causal effects -- Actions, plans, and direct effects -- Causality and structural models in social science and economics -- Simpson's paradox, confounding, and collapsibility -- Logic of structure-based counterfactuals -- Imperfect experiments: bounding effects and counterfactuals -- Probability of causation: interpretation and identification -- The actual cause -- Reflections, elaborations, and discussions with readers -- The art and science of cause and effect |
| Summary |
Summary: "Written by one of the preeminent 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, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. Cited in more than 2,100 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readersʼ questions, and offers a panoramic view of recent advances in this field of research."--Publisher description |
| Notes |
Previous ed.: 2000 |
| Bibliography |
Includes bibliographical references (pages 429-451) and indexes |
| Subject |
Causation.
|
|
Probabilities.
|
| LC no. |
99042108 |
| ISBN |
052189560X |
|
9780521895606 (hbk.) |
|
