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Causal Inference in Statistics

✍ Scribed by Judea Pearl


Publisher
Wiley
Year
2016
Tongue
English
Category
Library

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✦ Synopsis


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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