Causal Inference in Statistics: A Primer

by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell

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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.

  • ISBN13 9781119187011
  • Publish Date 23 February 2016 (first published 25 January 2016)
  • Publish Status Cancelled
  • Publish Country US
  • Publisher John Wiley & Sons Inc
  • Imprint Standards Information Network