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Computation, Causation, and Discovery

Computation, Causation, and Discovery
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Publisher :
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ISBN-10 : 0262315823
ISBN-13 : 9780262315821
Rating : 4/5 (23 Downloads)
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Book Synopsis Computation, Causation, and Discovery by : Clark N. Glymour

Download or read book Computation, Causation, and Discovery written by Clark N. Glymour and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Computation, Causation, and Discovery Related Books

Computation, Causation, and Discovery
Language: en
Pages:

Computation, Causation, and Discovery

Authors: Clark N. Glymour
Categories: Causation
Type: BOOK - Published: 1999 - Publisher:

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Causation, Prediction, and Search
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Causation, Prediction, and Search

Authors: Peter Spirtes
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to pre
Computation, Causation, and Discovery
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Computation, Causation, and Discovery

Authors: Clark N. Glymour
Categories: Business & Economics
Type: BOOK - Published: 1999 - Publisher:

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In science, business, and policymaking -- anywhere data are used in prediction -- two sorts of problems requiring very different methods of analysis often arise
An Introduction to Causal Inference
Language: en
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An Introduction to Causal Inference

Authors: Judea Pearl
Categories: Causation
Type: BOOK - Published: 2015 - Publisher: Createspace Independent Publishing Platform

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This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical
Elements of Causal Inference
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Elements of Causal Inference

Authors: Jonas Peters
Categories: Computers
Type: BOOK - Published: 2017-11-29 - Publisher: MIT Press

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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is