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Bayesian Analysis with Python. - Second Edition

You're reading from  Bayesian Analysis with Python. - Second Edition

Product type Book
Published in Dec 2018
Publisher Packt
ISBN-13 9781789341652
Pages 356 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Osvaldo Martin Osvaldo Martin
Profile icon Osvaldo Martin
LinkedIn
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.
See other products by Osvaldo Martin

Table of Contents (11) Chapters

Preface Thinking Probabilistically Programming Probabilistically Modeling with Linear Regression Generalizing Linear Models Model Comparison Mixture Models Gaussian Processes Inference Engines Where To Go Next?
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Published in: Dec 2018 Publisher: Packt ISBN-13: 9781789341652
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Authors (1)

Profile icon Osvaldo Martin
LinkedIn
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.
Read more
See other products by Osvaldo Martin

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