Bayesian Data Analysis for Animal Scientists

The Basics

Authors: Blasco, Agustín

  • An easy and intuitive introduction to Bayesian methods with Monte-Carlo Markov Chain methods (MCMC)
  • The author uses colours to help the understanding of the formulae and numerous graphs to make the inferences more intuitive
  • Examples are taken from published papers and common problems in the field of biology and agriculture
  • New ways of expressing uncertainty are proposed, to help researchers derive conclusions from their experiments
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eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-54274-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-54273-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

In this book, we provide an easy introduction to Bayesian inference using MCMC techniques, making most topics intuitively reasonable and deriving to appendixes the more complicated matters. The biologist or the agricultural researcher does not normally have a background in Bayesian statistics, having difficulties in following the technical books introducing Bayesian techniques. The difficulties arise from the way of making inferences, which is completely different in the Bayesian school, and from the difficulties in understanding complicated matters such as the MCMC numerical methods. We compare both schools, classic and Bayesian, underlying the advantages of Bayesian solutions, and proposing inferences based in relevant differences, guaranteed values, probabilities of similitude or the use of ratios. We also give a scope of complex problems that can be solved using Bayesian statistics, and we end the book explaining the difficulties associated to model choice and the use of small samples. The book has a practical orientation and uses simple models to introduce the reader in this increasingly popular school of inference.

About the authors

Agustin Blasco

Professor of Animal Breeding and Genetics

Visiting scientist at ABRO (Edinburgh), INRA (Jouy en Josas) and FAO (Rome). He was President of the World Rabbit Science Association and editor in chief of the journal World Rabbit Science. His career has focused on the genetics of litter size components and genetics of meat quality in rabbits and pigs. He has published more than one hundred papers in international journals. Invited speaker several times at the European Association for Animal Production and at the World Congress on Genetics Applied to Livestock Production among others. Chapman Lecturer at the University of Wisconsin. He has taught courses on Bayesian Inference at the universities of Valencia (Spain), Edinburgh (UK), Wisconsin (USA), Padua (Italy), Sao Paulo, Lavras (Brazil), Nacional (Uruguay), Lomas (Argentina) and at INRA in Toulouse (France).

Video

Table of contents (10 chapters)

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-54274-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-54273-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Bayesian Data Analysis for Animal Scientists
Book Subtitle
The Basics
Authors
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-54274-4
DOI
10.1007/978-3-319-54274-4
Hardcover ISBN
978-3-319-54273-7
Edition Number
1
Number of Pages
XVIII, 275
Number of Illustrations and Tables
5 b/w illustrations, 57 illustrations in colour
Topics