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An Introduction to Bayesian Inference, Methods and Computation

Authors: Heard, Nick

  • Quickly progresses from fundamental concepts to advanced modelling techniques
  • Provides Stan and Python codes for illustrating concepts
  • Presents exercises with solutions integrated into each chapter
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eBook 67,40 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: October 31, 2021
  • ISBN 978-3-030-82808-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 83,19 €
price for Spain (gross)
  • Due: October 31, 2021
  • ISBN 978-3-030-82807-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this Textbook

These lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.

 


About the authors

Professor Nick Heard received his PhD degree from the Department of Mathematics at Imperial College London in 2001 and currently holds the position of Chair in Statistics at Imperial. His research interests include developing statistical models for cyber-security applications, finding community structure in large dynamic networks, clustering and changepoint analysis, in each case using computational Bayesian methods.

Buy this book

eBook 67,40 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: October 31, 2021
  • ISBN 978-3-030-82808-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 83,19 €
price for Spain (gross)
  • Due: October 31, 2021
  • ISBN 978-3-030-82807-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
An Introduction to Bayesian Inference, Methods and Computation
Authors
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-82808-0
DOI
10.1007/978-3-030-82808-0
Hardcover ISBN
978-3-030-82807-3
Edition Number
1
Number of Pages
X, 140
Number of Illustrations
1 b/w illustrations, 30 illustrations in colour
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