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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.
eBook details
- Title: Causal Inference in Statistics - A Primer
- Author : Judea Pearl
- Release Date : *
- Genre: Books,Science & Math,Mathematics
- Pages : * pages
- Size : * KB
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