Bayesian Analysis with Python: A practical guide to probabilistic modeling (English)

OSVALDO MARTIN

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ISBN 10: 1805127160 ISBN 13: 9781805127161
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Synopsis:

Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these libraries

Key Features

  • Conduct Bayesian data analysis with step-by-step guidance
  • Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling
  • Enhance your learning with best practices through sample problems and practice exercises
  • Purchase of the print or Kindle book includes a free PDF eBook.

Book Description

The third edition of Bayesian Analysis with Python serves...

About the Author:

Osvaldo Martin is a researcher at CONICET, in Argentina. He has experience using Markov Chain Monte Carlo methods to simulate molecules and perform Bayesian inference. He loves to use Python to solve data analysis problems. He is especially motivated by the development and implementation of software tools for Bayesian statistics and probabilistic modeling. He is an open-source developer, and he contributes to Python libraries like PyMC, ArviZ and Bambi among others. He is interested in all aspects of the Bayesian workflow, including numerical methods for inference, diagnosis of sampling, evaluation and criticism of models, comparison of models and presentation of results.

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Bibliographic Details

Title: Bayesian Analysis with Python: A practical ...
Publisher: PACKT PUBLISHING
Publication Date: 2024
Binding: Soft cover
Condition: new
Edition: 3rd Edition

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