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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

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