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Causality

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Release : 2009-09-14
Genre : Computers
Kind : eBook
Book Rating : 60X/5 ( reviews)

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Book Synopsis Causality by : Judea Pearl

Download or read book Causality written by Judea Pearl. This book was released on 2009-09-14. Available in PDF, EPUB and Kindle. Book excerpt: Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence ...

Actual Causality

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Release : 2016-08-12
Genre : Computers
Kind : eBook
Book Rating : 022/5 ( reviews)

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Book Synopsis Actual Causality by : Joseph Y. Halpern

Download or read book Actual Causality written by Joseph Y. Halpern. This book was released on 2016-08-12. Available in PDF, EPUB and Kindle. Book excerpt: Explores actual causality, and such related notions as degree of responsibility, degree of blame, and causal explanation. The goal is to arrive at a definition of causality that matches our natural language usage and is helpful, for example, to a jury deciding a legal case, a programmer looking for the line of code that cause some software to fail, or an economist trying to determine whether austerity caused a subsequent depression.

A Logical Theory of Causality

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Release : 2021-08-17
Genre : Computers
Kind : eBook
Book Rating : 244/5 ( reviews)

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Book Synopsis A Logical Theory of Causality by : Alexander Bochman

Download or read book A Logical Theory of Causality written by Alexander Bochman. This book was released on 2021-08-17. Available in PDF, EPUB and Kindle. Book excerpt: A general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference. In this book, Alexander Bochman presents a general formal theory of causal reasoning as a logical study of causal models, reasoning, and inference, basing it on a supposition that causal reasoning is not a competitor of logical reasoning but its complement for situations lacking logically sufficient data or knowledge. Bochman also explores the relationship of this theory with the popular structural equation approach to causality proposed by Judea Pearl and explores several applications ranging from artificial intelligence to legal theory, including abduction, counterfactuals, actual and proximate causality, dynamic causal models, and reasoning about action and change in artificial intelligence. As logical preparation, before introducing causal concepts, Bochman describes an alternative, situation-based semantics for classical logic that provides a better understanding of what can be captured by purely logical means. He then presents another prerequisite, outlining those parts of a general theory of nonmonotonic reasoning that are relevant to his own theory. These two components provide a logical background for the main, two-tier formalism of the causal calculus that serves as the formal basis of his theory. He presents the main causal formalism of the book as a natural generalization of classical logic that allows for causal reasoning. This provides a formal background for subsequent chapters. Finally, Bochman presents a generalization of causal reasoning to dynamic domains.

Causal Inference

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Release : 2019-07-07
Genre : Medical
Kind : eBook
Book Rating : 165/5 ( reviews)

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Book Synopsis Causal Inference by : Miquel A. Hernan

Download or read book Causal Inference written by Miquel A. Hernan. This book was released on 2019-07-07. Available in PDF, EPUB and Kindle. Book excerpt: The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of detailed, worked examples using real epidemiologic data as well as software for replicating the analyses, the text provides a thorough introduction to the basics of the theory for non-time-varying treatments and the generalization to complex longitudinal data.

Causality, Probability, and Time

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Release : 2013
Genre : Computers
Kind : eBook
Book Rating : 482/5 ( reviews)

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

Download or read book Causality, Probability, and Time written by Samantha Kleinberg. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: Presents a new approach to causal inference and explanation, addressing both the timing and complexity of relationships.

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