Bayesian Analysis with Python
Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition
$112.15
- Paperback
356 pages
- Release Date
26 December 2018
Summary
Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ
Key Features- A step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ
- A modern, practical and computational approach to Bayesian statistical modeling
- A tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises.
The second edition of Bayesian Analysis with Python is an introductio…
Book Details
| ISBN-13: | 9781789341652 |
|---|---|
| ISBN-10: | 1789341655 |
| Author: | Osvaldo Martin |
| Publisher: | Packt Publishing Limited |
| Imprint: | Packt Publishing Limited |
| Format: | Paperback |
| Number of Pages: | 356 |
| Edition: | 2nd |
| Release Date: | 26 December 2018 |
| Weight: | 670g |
| Dimensions: | 75mm x 93mm |
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Osvaldo Martin
Osvaldo Martin is a researcher at The National Scientific and Technical Research Council (CONICET), in Argentina. He has worked on structural bioinformatics of protein, glycans, and RNA molecules. He has experience using Markov Chain Monte Carlo methods to simulate molecular systems and loves to use Python to solve data analysis problems. He has taught courses about structural bioinformatics, data science, and Bayesian data analysis. He was also the head of the organizing committee of PyData San Luis (Argentina) 2017. He is one of the core developers of PyMC3 and ArviZ.
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