martin o. - bayesian analysis with python - 2016.pdf

(5193 KB) Pobierz
Bayesian Analysis with Python
Unleash the power and flexibility of the Bayesian
framework
Osvaldo Martin
BIRMINGHAM - MUMBAI
Bayesian Analysis with Python
Copyright © 2016 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval
system, or transmitted in any form or by any means, without the prior written
permission of the publisher, except in the case of brief quotations embedded in
critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy
of the information presented. However, the information contained in this book
is sold without warranty, either express or implied. Neither the author nor Packt
Publishing, and its dealers and distributors will be held liable for any damages
caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the
companies and products mentioned in this book by the appropriate use of capitals.
However, Packt Publishing cannot guarantee the accuracy of this information.
First published: November 2016
Production reference: 1211116
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78588-380-4
www.packtpub.com
Credits
Author
Osvaldo Martin
Reviewer
Austin Rochford
Commissioning Editor
Veena Pagare
Acquisition Editor
Tushar Gupta
Content Development Editor
Aishwarya Pandere
Technical Editor
Suwarna Patil
Copy Editor
Safis Editing
Vikrant Phadke
Project Coordinator
Nidhi Joshi
Proofreader
Safis Editor
Indexer
Mariammal Chettiyar
Graphics
Disha Haria
Production Coordinator
Nilesh Mohite
Cover Work
Nilesh Mohite
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.
I would like to thank my wife, Romina, for her support while writing
this book and in general for her support in all my projects, specially
the unreasonable ones. I also want to thank Walter Lapadula,
Juan Manuel Alonso, and Romina Torres-Astorga for providing
invaluable feedback and suggestions on my drafts.
A special thanks goes to the core developers of PyMC3. This book
was possible only because of the dedication, love, and hard work
they have put into PyMC3. I hope this book contributes to the spread
and adoption of this great library.

Plik z chomika:

Inne pliki z tego folderu:

Inne foldery tego chomika:

Zgłoś jeśli naruszono regulamin