Causal Inference in Statistics: A Primer (Paperback)

Causal Inference in Statistics: A Primer By Madelyn Glymour, Judea Pearl, Nicholas P. Jewell Cover Image
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Description


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.

About the Author


Judea Pearl, Computer Science and Statistics, University of California, Los Angeles, USA. Madelyn Glymour, Philosophy, Carnegie Mellon University, Pittsburgh, USA. Nicholas P. Jewell, Biostatistics and Statistics, University of California, Berkeley, USA.


Product Details
ISBN: 9781119186847
ISBN-10: 1119186846
Publisher: Wiley
Publication Date: March 7th, 2016
Pages: 160
Language: English