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RECORD NUMBER: 32 OF 235

Main Title Causality : models, reasoning, and inference /
Author Pearl, Judea,
Publisher Cambridge University Press,
Year Published 2009
OCLC Number 460284744
ISBN 052189560X; 9780521895606; 9780521773621; 0521773628
Subjects Causation ; Probabilities ; Probability ; Probabilitš ; Modèles mathématiques ; Kausalität ; Wahrscheinlichkeitsrechnung ; Mathematics--Philosophy ; Artificial intelligence ; Kausalitèat
Internet Access
Description Access URL
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018618229&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018618229&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  BD541.P43 2009 Research Triangle Park Library/RTP, NC 03/29/2010
EKCM  BD541.P43 2009 CEMM/GEMMD Library/Gulf Breeze,FL 04/04/2011 STATUS
Edition 2nd ed.
Collation xix, 465 pages : illustrations ; 26 cm
Notes
Includes bibliographical references (pages 429-453) and indexes.
Contents Notes
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. 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 readers® questions, and offers a panoramic view of recent advances in this field of research."--Publisher description.