Causal Inference in Statistics - Judea Pearl, Madelyn Glymour & Nicholas P. Jewell

Causal Inference in Statistics

Por Judea Pearl, Madelyn Glymour & Nicholas P. Jewell

  • Fecha de lanzamiento: 2016-01-25
  • Género: Matemáticas


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.