*Think Bayes: Bayesian Statistics Made Simple*, by Allen B. Downey, uses Python code instead of math, and discrete approximations instead of continuous mathematics.

**Description**

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.

**Table of 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

**Book Details**

Author(s): Allen B. Downey

Publisher: O’Reilly Media

Format(s): PDF, HTML(Online)

File size: 2.26 MB

Number of pages: 213

Link: Think Bayes [PDF, Online]

Publisher: O’Reilly Media

Format(s): PDF, HTML(Online)

File size: 2.26 MB

Number of pages: 213

Link: Think Bayes [PDF, Online]