Opening book details…
Can I read Think Bayes : Bayesian statistics in Python on EtoBox?
Think Bayes : Bayesian statistics in Python by Allen B. Downey is a mathematics available to read on EtoBox.
What is Think Bayes : Bayesian statistics in Python about?
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 there aren't many resources 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
Who reads Think Bayes : Bayesian statistics in Python?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Allen B. Downey
- Publisher
- O'Reilly Media, Incorporated
- Published
- 2021
- Language
- EN
- ISBN
- 9781492089469
- Category
- mathematics
- Subjects
- Science, Language Learning, Computer Science
- Rating
- 4.2 / 5 (99 ratings)
- Updated
- 2026-03-14
Other editions & translations
More by Allen B. Downey
Browse all works by Allen B. Downey
Similar books
- Introduction to Bayesian Statistics, 2nd Edition — William M. Bolstad (2007)
- An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing) — Thomas Haslwanter (2016)
- Bayesian Analysis with Python — Osvaldo Martin (2016)
- Statistics Crash Course for Beginners: Theory and Applications of Frequentist and Bayesian Statistics Using Python — AI Publishing (2020)
- Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics) — Jean-Michel Marin, Christian Robert, Christian P. (2007)
- Introduction to Bayesian Statistics — W.Bolstad (2004)