Название: Causal Inference in Statistics. A Primer
Автор: Judea Pearl
Издательство: John Wiley & Sons Limited
Жанр: Математика
isbn: 9781119186854
isbn: 0
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.