Bayesian analysis with Python : introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ [E-Book] / Osvaldo Martin.
The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models...
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Personal Name(s): | Martin, Osvaldo, author |
Edition: |
2nd edition |
Imprint: |
[Birmingham] :
Packt Publishing,
2018
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Physical Description: |
350 pages (online resource) |
Note: |
englisch |
ISBN: |
9781789341652 9781789349665 1789341655 |
Subject (ZB): | |
Subject (LOC): | |
Classification: |
- Bayesian analysis with Python : introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ
- Dedication
- Foreword
- Contributors
- Table of Contents
- Foreword
- Chapter 1: Thinking Probabilistically
- Chapter 2: Programming Probabilistically
- Chapter 3: Modeling with Linear Regression
- Chapter 4: Generalizing Linear Models
- Chapter 5: Model Comparison
- Chapter 6: Mixture Models
- Chapter 7: Gaussian Processes
- Chapter 8: Inference Engines
- Chapter 9: Where To Go Next?
- Other Books You May Enjoy
- Index.