Causal Inference in Statistics. A Primer #939413

Авторы:
; ;
Жанр:
Математика
Агент:
John Wiley & Sons Limited (prof) EUR
Формат:
PDF книга
Объем:
159 стр
Язык:
английский
Правообладатель:
John Wiley & Sons Limited
Аннотация:

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.

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