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Causality, Probability, and Time

Download or Read eBook Causality, Probability, and Time PDF written by Samantha Kleinberg and published by . This book was released on 2013 with total page 259 pages. Available in PDF, EPUB and Kindle.
Causality, Probability, and Time
Author :
Publisher :
Total Pages : 259
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ISBN-10 : 1139616358
ISBN-13 : 9781139616355
Rating : 4/5 (58 Downloads)

Book Synopsis Causality, Probability, and Time by : Samantha Kleinberg

Book excerpt: "This book presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships. The method's feasibility and success is demonstrated through theoretical and experimental case studies"--


Causality, Probability, and Time Related Books

Causality, Probability, and Time
Language: en
Pages: 269
Authors: Samantha Kleinberg
Categories: Computers
Type: BOOK - Published: 2013 - Publisher: Cambridge University Press

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Presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships.
Causality, Probability, and Time
Language: en
Pages: 259
Authors: Samantha Kleinberg
Categories: Computational complexity
Type: BOOK - Published: 2013 - Publisher:

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"This book presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships. The method's feasibility and
Causality, Probability, and Medicine
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Pages: 261
Authors: Donald Gillies
Categories: Philosophy
Type: BOOK - Published: 2018-08-15 - Publisher: Routledge

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Why is understanding causation so important in philosophy and the sciences? Should causation be defined in terms of probability? Whilst causation plays a major
Time and Causality Across the Sciences
Language: en
Pages: 273
Authors: Samantha Kleinberg
Categories: Computers
Type: BOOK - Published: 2019-09-26 - Publisher: Cambridge University Press

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Explores the critical role time plays in our understanding of causality, across psychology, biology, physics and the social sciences.
Causality in the Sciences
Language: en
Pages: 953
Authors: Phyllis McKay Illari
Categories: Mathematics
Type: BOOK - Published: 2011-03-17 - Publisher: Oxford University Press

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Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inferen
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