Bayesian Analysis with Python

Bayesian Analysis with Python

by Osvaldo Martin


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Product Details

ISBN-13: 9781785883804
Publisher: Packt Publishing
Publication date: 11/28/2016
Pages: 282
Product dimensions: 7.50(w) x 9.25(h) x 0.59(d)

About the Author

Osvaldo Martin is a researcher at The National Scientific and Technical Research Council (CONICET), the main organization in charge of the promotion of science and technology in Argentina. He has worked on structural bioinformatics and computational biology problems, especially on how to validate structural protein models. He has experience in using Markov Chain Monte Carlo methods to simulate molecules and loves to use Python to solve data analysis problems. He has taught courses about structural bioinformatics, Python programming, and, more recently, Bayesian data analysis. Python and Bayesian statistics have transformed the way he looks at science and thinks about problems in general. Osvaldo was really motivated to write this book to help others in developing probabilistic models with Python, regardless of their mathematical background. He is an active member of the PyMOL community (a C/Python-based molecular viewer), and recently he has been making small contributions to the probabilistic programming library PyMC3.

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