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Causal Inference in Statistics: A Primer

Judea Pearl, Madelyn Glymour, Nicholas P. Jewell




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 | #39391 in Books |  Pearl Judea |  2016-03-07 | Original language:English | PDF # 1 |  9.70 x.30 x6.70l,.0 | File type: PDF | 160 pages

 | Causal Inference in Statistics A Primer

||23 of 23 people found the following review helpful.| this books gives an excellent introduction and grounding for tackling more scholarly works such ...|By Customer|For a non-statistician interested in causal inference, this books gives an excellent introduction and grounding for tackling more scholarly works such as Peal’s, “Introduction to Causal Inference” or his larger textbook. The writing is what reall| ||"Despite the fact that quite a few high-quality books on the topic of causal inference have recently been published, this book clearly fills an important gap: that of providing a simple and clear primer...Use of counterfactuals [in the final chapter] is elega

Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality.  Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whi...

You can specify the type of files you want, for your device.Causal Inference in Statistics: A Primer   |  Judea Pearl, Madelyn Glymour, Nicholas P. Jewell. A good, fresh read, highly recommended.

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