Causality (Record no. 4253)

MARC details
000 -LEADER
fixed length control field 02339nam a2200169Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250117103703.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250117s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521895606
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 122PEA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pearl, Judea.
245 #0 - TITLE STATEMENT
Title Causality
Remainder of title models, reasoning, and inference
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge
Name of publisher, distributor, etc. Cambridge University Press
Date of publication, distribution, etc. 2000
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 384 p. : ill. ; 26 cm.
500 ## - GENERAL NOTE
General note Includes bibliographical references (p. 359-373) and indexes.
520 ## - SUMMARY, ETC.
Summary, etc. 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. The book will open the way for including causal analysis in the standard curricula of statistics, artificial intelligence, business, epidemiology, social sciences, and economics. Students in these fields will find natural models, simple inferential procedures, and precise mathematical definitions of causal concepts that traditional texts have evaded or made unduly complicated. The first edition of Causality has led to a paradigmatic change in the way that causality is treated in statistics, philosophy, computer science, social science, and economics. Cited in more than 5,000 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. Causality will be of interests to students and professionals 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Causation.
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
        UONGOZI Institute Resources Centre - Dar es Salaam UONGOZI Institute Resources Centre - Dar es Salaam 01/17/2025   122PEA 004300 01/31/2025 01/17/2025 Book