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.
0 of 1 copy available
Wait time: About 2 weeks
0 of 1 copy available
Wait time: About 2 weeks
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Creators
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Publisher
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Release date
January 25, 2016 -
Formats
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OverDrive Read
- ISBN: 9781119186861
- File size: 8923 KB
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EPUB ebook
- ISBN: 9781119186861
- File size: 14626 KB
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Languages
- English
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