Verfügbarkeit: Causality :: THWS Bibkatalog

Causality: models, reasoning, and inference

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 intellig...

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Bibliographische Detailangaben
1. Verfasser:	Pearl, Judea 1936- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cambridge Cambridge University Press 2021
Ausgabe:	Second edition, reprinted with corrections
Schlagworte:	Causation Probabilities Kausalmodell Unsicheres Schließen Kausalitätswahrnehmung Methode Kausalität Statistische Analyse Wahrscheinlichkeit Wahrscheinlichkeitsrechnung Wissenschaft Statistische Schlussweise Vernunft
Online-Zugang:	DE-521 DE-19 Volltext
Zusammenfassung:	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. Causality will be of interest to students and professionals in a wide variety of fields. Dr Judea Pearl has received the 2011 Rumelhart Prize for his leading research in Artificial Intelligence (AI) and systems from The Cognitive Science Society
Beschreibung:	1 Online-Ressource (xix, 465 Seiten)
ISBN:	9780511803161
DOI:	10.1017/CBO9780511803161

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MARC


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dewey-tens	120 - Epistemology, causation, humankind
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id	DE-604.BV048887468
illustrated	Not Illustrated
index_date	2024-07-03T21:47:29Z
indexdate	2024-07-20T04:03:07Z
institution	BVB
isbn	9780511803161
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034152102
oclc_num	1376412251
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owner	DE-521 DE-19 DE-BY-UBM
owner_facet	DE-521 DE-19 DE-BY-UBM
physical	1 Online-Ressource (xix, 465 Seiten)
psigel	ZDB-20-CBO ZDB-20-CBO EUV_EK_CAM ZDB-20-CBO UBM_PDA_CBO_Kauf_2023
publishDate	2021
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publisher	Cambridge University Press
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spelling	Pearl, Judea 1936- Verfasser (DE-588)139283331 aut Causality models, reasoning, and inference Judea Pearl, University of California, Los Angeles Second edition, reprinted with corrections Cambridge Cambridge University Press 2021 1 Online-Ressource (xix, 465 Seiten) txt rdacontent c rdamedia cr rdacarrier 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. Causality will be of interest to students and professionals in a wide variety of fields. Dr Judea Pearl has received the 2011 Rumelhart Prize for his leading research in Artificial Intelligence (AI) and systems from The Cognitive Science Society Causation Probabilities Kausalmodell (DE-588)4123496-0 gnd rswk-swf Unsicheres Schließen (DE-588)4361044-4 gnd rswk-swf Kausalitätswahrnehmung (DE-588)4290135-2 gnd rswk-swf Methode (DE-588)4038971-6 gnd rswk-swf Kausalität (DE-588)4030102-3 gnd rswk-swf Statistische Analyse (DE-588)4116599-8 gnd rswk-swf Wahrscheinlichkeit (DE-588)4137007-7 gnd rswk-swf Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd rswk-swf Wissenschaft (DE-588)4066562-8 gnd rswk-swf Statistische Schlussweise (DE-588)4182963-3 gnd rswk-swf Vernunft (DE-588)4063106-0 gnd rswk-swf Wissenschaft (DE-588)4066562-8 s Methode (DE-588)4038971-6 s Kausalitätswahrnehmung (DE-588)4290135-2 s 1\p DE-604 Kausalität (DE-588)4030102-3 s Wahrscheinlichkeitsrechnung (DE-588)4064324-4 s 2\p DE-604 Wahrscheinlichkeit (DE-588)4137007-7 s 3\p DE-604 Vernunft (DE-588)4063106-0 s Kausalmodell (DE-588)4123496-0 s 4\p DE-604 Statistische Analyse (DE-588)4116599-8 s 5\p DE-604 Unsicheres Schließen (DE-588)4361044-4 s 6\p DE-604 Statistische Schlussweise (DE-588)4182963-3 s 7\p DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-0-521-89560-6 https://doi.org/10.1017/CBO9780511803161 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 7\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Pearl, Judea 1936- Causality models, reasoning, and inference Causation Probabilities Kausalmodell (DE-588)4123496-0 gnd Unsicheres Schließen (DE-588)4361044-4 gnd Kausalitätswahrnehmung (DE-588)4290135-2 gnd Methode (DE-588)4038971-6 gnd Kausalität (DE-588)4030102-3 gnd Statistische Analyse (DE-588)4116599-8 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Wissenschaft (DE-588)4066562-8 gnd Statistische Schlussweise (DE-588)4182963-3 gnd Vernunft (DE-588)4063106-0 gnd
subject_GND	(DE-588)4123496-0 (DE-588)4361044-4 (DE-588)4290135-2 (DE-588)4038971-6 (DE-588)4030102-3 (DE-588)4116599-8 (DE-588)4137007-7 (DE-588)4064324-4 (DE-588)4066562-8 (DE-588)4182963-3 (DE-588)4063106-0
title	Causality models, reasoning, and inference
title_auth	Causality models, reasoning, and inference
title_exact_search	Causality models, reasoning, and inference
title_exact_search_txtP	Causality models, reasoning, and inference
title_full	Causality models, reasoning, and inference Judea Pearl, University of California, Los Angeles
title_fullStr	Causality models, reasoning, and inference Judea Pearl, University of California, Los Angeles
title_full_unstemmed	Causality models, reasoning, and inference Judea Pearl, University of California, Los Angeles
title_short	Causality
title_sort	causality models reasoning and inference
title_sub	models, reasoning, and inference
topic	Causation Probabilities Kausalmodell (DE-588)4123496-0 gnd Unsicheres Schließen (DE-588)4361044-4 gnd Kausalitätswahrnehmung (DE-588)4290135-2 gnd Methode (DE-588)4038971-6 gnd Kausalität (DE-588)4030102-3 gnd Statistische Analyse (DE-588)4116599-8 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Wissenschaft (DE-588)4066562-8 gnd Statistische Schlussweise (DE-588)4182963-3 gnd Vernunft (DE-588)4063106-0 gnd
topic_facet	Causation Probabilities Kausalmodell Unsicheres Schließen Kausalitätswahrnehmung Methode Kausalität Statistische Analyse Wahrscheinlichkeit Wahrscheinlichkeitsrechnung Wissenschaft Statistische Schlussweise Vernunft
url	https://doi.org/10.1017/CBO9780511803161
work_keys_str_mv	AT pearljudea causalitymodelsreasoningandinference

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