Think Bayes | Allen B. Downey
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Author: Allen B. Downey
Added by: eric
Added Date: 2015-07-21
Publication Date: 2012
Language: eng
Subjects: statistics
Collections: folkscanomy miscellaneous, folkscanomy, additional collections
Pages Count: 213
PPI Count: 300
PDF Count: 1
Total Size: 79.82 MB
PDF Size: 2.26 MB
Extensions: djvu, gif, pdf, gz, zip
License: Unknown License
Downloads: 3.33K
Views: 53.33
Total Files: 12
Media Type: texts
Description
The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics.
Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops.
The author thinks this presentation is easier to understand, at least for people with programming skills. It is also more general, because when we make modeling decisions, we can choose the most appropriate model without worrying too much about whether the model lends itself to conventional analysis. Also, it provides a smooth development path from simple examples to real-world problems.
Order print editions of Think Bayes from Green Tea Press. Archived by Unglue.it