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Total Size:
13.7 MB
Info Hash:
B46784A16FBA1638D8DA6781D4E710E17734BE32
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Added:
May 28, 2025, 4:55 p.m.
Stats:
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(Last updated: May 28, 2025, 4:56 p.m.)
| File | Size |
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| Loftus S. An Introductory Handbook of Bayesian Thinking 2024.pdf | 13.7 MB |
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| Uploaded by andryold1 | Size 13.7 MB | Health [ 165 /9 ] | Added 2025-05-28 |
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| Uploaded by eXpOrTeRICV | Size 11.0 GB | Health [ 6 /24 ] | Added 2025-03-29 |
NOTE
SOURCE: Loftus S. An Introductory Handbook of Bayesian Thinking 2024
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COVER
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MEDIAINFO
Textbook in PDF format An Introductory Handbook of Bayesian Thinking brings Bayesian thinking and methods to a wide audience beyond the mathematical sciences. Appropriate for students with some background in calculus and introductory statistics, particularly for nonstatisticians with a sufficient mathematical background, the text provides a gentle introduction to Bayesian ideas with a wide array of supporting examples from a variety of fields. Utilizes real datasets to illustrate Bayesian models and their results Guides readers on coding Bayesian models using the statistical software R, including a helpful introduction and supporting online resource Appropriate for an undergraduate statistics course, as well as for non-statisticians with sufficient mathematical background (integral and differential Calculus and an introductory Statistics course) Covers any more advanced topics which readers may not be familiar with, such as the basic idea of vectors and matrices
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