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 2000
Schlagworte:	Causation Probabilities Kausalmodell Unsicheres Schließen Kausalitätswahrnehmung Methode Kausalität Statistische Analyse Wahrscheinlichkeit Wahrscheinlichkeitsrechnung Wissenschaft Statistische Schlussweise Vernunft
Online-Zugang:	DE-12 DE-92 DE-473 DE-703 DE-20 URL des Erstveröffentlichers
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:	Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Beschreibung:	1 online resource (xvi, 384 pages)
ISBN:	9780511803161
DOI:	10.1017/CBO9780511803161

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dewey-hundreds	100 - Philosophy & psychology
dewey-ones	122 - Causation
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dewey-tens	120 - Epistemology, causation, humankind
discipline	Allgemeines Informatik Soziologie Mathematik Philosophie Wirtschaftswissenschaften
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id	DE-604.BV043923795
illustrated	Not Illustrated
indexdate	2024-07-20T04:02:56Z
institution	BVB
isbn	9780511803161
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-029332874
oclc_num	967412040
open_access_boolean
owner	DE-12 DE-703 DE-473 DE-BY-UBG DE-92 DE-20
owner_facet	DE-12 DE-703 DE-473 DE-BY-UBG DE-92 DE-20
physical	1 online resource (xvi, 384 pages)
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publishDate	2000
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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 Cambridge Cambridge University Press 2000 1 online resource (xvi, 384 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 Druckausgabe 978-0-521-74919-0 Erscheint auch als Druckausgabe 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_full	Causality models, reasoning, and inference Judea Pearl
title_fullStr	Causality models, reasoning, and inference Judea Pearl
title_full_unstemmed	Causality models, reasoning, and inference Judea Pearl
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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