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Probabilistic Reasoning in Intelligent Systems by Judea Pearl

Probabilistic Reasoning in Intelligent Systems by Judea Pearl. ISBN 1558604790 . Paperback. Inside pages; one page (Free end paper has name inscriptions) the rest of pages; no writing/highlighting. The binding is intact, all text is readable A picture worth a thousand words! We’ve taken pictures of the details & flaws of the book as much as we can so you know what you’re getting. Please see the pictures we provided for details. Thank you!

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Probabilistic Reasoning in Intelligent Systems by Judea Pearl

Probabilistic Reasoning in Intelligent Systems by Judea Pearl. ISBN 1558604790 . Paperback. Inside pages; one page (Free end paper has name inscriptions) the rest of pages; no writing/highlighting. The binding is intact, all text is readable A picture worth a thousand words! We’ve taken pictures of the details & flaws of the book as much as we can so you know what you’re getting. Please see the pictures we provided for details. Thank you!

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Causal Inference in Statistics: A Primer Pearl, Judea, Madelyn Glymour and Nicho

“Causal Inference in Statistics: A Primer” by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell is a comprehensive textbook on the subject of probability and statistics, focusing on the application of statistical methods to causal reasoning. The book, published by Wiley & Sons in 2016, covers topics such as general probability theory, general statistics, and causal inference. With a total of 156 pages, the trade paperback format makes it easily accessible for students and professionals in the field. The authors provide a clear and informative approach to understanding the complexities of causal inference in statistics, making it a valuable resource for those interested in this specialized area of mathematics and philosophy.

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Causal Inference in Statistics: A Primer Pearl, Judea, Madelyn Glymour and Nicho

“Causal Inference in Statistics: A Primer” by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell is a comprehensive textbook on the subject of probability and statistics, focusing on the application of statistical methods to causal reasoning. The book, published by Wiley & Sons in 2016, covers topics such as general probability theory, general statistics, and causal inference. With a total of 156 pages, the trade paperback format makes it easily accessible for students and professionals in the field. The authors provide a clear and informative approach to understanding the complexities of causal inference in statistics, making it a valuable resource for those interested in this specialized area of mathematics and philosophy.

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