If you know how to program, you're ready to tackle Bayesian
statistics. With this book, you'll learn how to solve statistical
problems with Python code instead of mathematical formulas, using
discrete probability distributions rather than continuous
mathematics. Once you get the math out of the way, the Bayesian
fundamentals will become clearer and you'll begin to apply these
techniques to real-world problems. Bayesian statistical methods are
becoming more common and more important, but not many resources are
available to help beginners. Based on undergraduate classes taught
by author Allen B. Downey, this book's computational approach helps
you get a solid start. Use your programming skills to learn and
understand Bayesian statistics Work with problems involving
estimation, prediction, decision analysis, evidence, and Bayesian
hypothesis testing Get started with simple examples, using coins,
dice, and a bowl of cookies Learn computational methods for solving
real-world problems
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
May 2021 |
Authors: |
Allen Downey
|
Dimensions: |
234 x 176 x 18mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
320 |
Edition: |
2nd edition |
ISBN-13: |
978-1-4920-8946-9 |
Categories: |
Books
|
LSN: |
1-4920-8946-X |
Barcode: |
9781492089469 |
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