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Bayesian Analysis with Python

You're reading from Bayesian Analysis with Python Unleash the power and flexibility of the Bayesian framework

Product type Paperback

Published in Nov 2016

Publisher Packt

ISBN-13 9781785883804

Length 282 pages

Edition 1st Edition

Languages

Python

Concepts

Data Science

Author (1):

Osvaldo Martin

View More author details

Table of Contents (10) Chapters

Preface

1. Thinking Probabilistically - A Bayesian Inference Primer FREE CHAPTER

2. Programming Probabilistically – A PyMC3 Primer

3. Juggling with Multi-Parametric and Hierarchical Models

4. Understanding and Predicting Data with Linear Regression Models

5. Classifying Outcomes with Logistic Regression

6. Model Comparison

7. Mixture Models

8. Gaussian Processes

Index

Keep reading

Chapter 11, Statistical Rethinking, Richard McElreath
Chapter 21, Doing Bayesian Data Analysis, Second Edition. John Kruschke
Chapter 22, Bayesian Data Analysis, Third Edition Gelman et al

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