Causal Inference in Statistics: A Primer
Judea Pearl, Madelyn Glymour, Nicholas P. Jewell, "Causal Inference in Statistics: A Primer"
English | 2016 | ISBN: 1119186846 | 160 pages | True PDF | 1.5 MB
English | 2016 | ISBN: 1119186846 | 160 pages | True PDF | 1.5 MB
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.