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Causal Inference in Statistics

ebook

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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Publisher: Wiley

Kindle Book

  • Release date: February 3, 2016

OverDrive Read

  • ISBN: 9781119186861
  • File size: 8923 KB
  • Release date: January 25, 2016

EPUB ebook

  • ISBN: 9781119186861
  • File size: 14626 KB
  • Release date: January 25, 2016

Formats

Kindle Book
OverDrive Read
EPUB ebook

Languages

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.


Expand title description text