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Think Bayes

Author: Allen Downey
Publisher: Sebastopol, CA : O'Reilly, 2013.
Edition/Format:   Print book : English : First editionView all editions and formats
Summary:
If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer, and you’ll begin  Read more...
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Document Type: Book
All Authors / Contributors: Allen Downey
ISBN: 9781449370787 1449370780
OCLC Number: 858900827
Notes: "Bayesian statistics in Python"--Cover.
Includes index.
Description: xv, 190 pages : illustrations ; 24 cm
Contents: Bayes's theorem --
Computational statistics --
Estimation --
More estimation --
Odds and addends --
Decision analysis --
Prediction --
Observer bias --
Two dimensions --
Approximate Bayesian computation --
Hypothesis testing --
Evidence --
Simulation --
A hierarchical model --
Dealing with dimensions.
Responsibility: Allen B. Downey.

Abstract:

If you know how to program with Python, and know a little about probability, you're ready to tackle Bayesian statistics. This book shows you how to use Python code instead of math to help you learn  Read more...

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