Causal Inference in Statistics

A Primer

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Causal Inference in Statistics by Judea Pearl, Madelyn Glymour, Nicholas P. Jewell, Wiley
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Author: Judea Pearl, Madelyn Glymour, Nicholas P. Jewell ISBN: 9781119186861
Publisher: Wiley Publication: January 25, 2016
Imprint: Wiley Language: English
Author: Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
ISBN: 9781119186861
Publisher: Wiley
Publication: January 25, 2016
Imprint: Wiley
Language: English

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, whilst questions are provided at the end of each section to aid student learning.

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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, whilst questions are provided at the end of each section to aid student learning.

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