Causal Inference in Statistics. A Primer

Judea Pearl

Жанр: Наука, Математика

Издательство: John Wiley & Sons Limited
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О книге "Causal Inference in Statistics. A Primer"

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.

Подробнее
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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