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Bayesian Data Analysis for Animal Scientists

The Basics

  • Agustín Blasco

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Agustín Blasco
    Pages 1-32
  3. Agustín Blasco
    Pages 33-65
  4. Agustín Blasco
    Pages 67-84
  5. Agustín Blasco
    Pages 85-102
  6. Agustín Blasco
    Pages 103-118
  7. Agustín Blasco
    Pages 137-165
  8. Agustín Blasco
    Pages 193-211
  9. Agustín Blasco
    Pages 213-246
  10. Back Matter
    Pages 247-275

About this book

Introduction

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.

Keywords

Bayesian statistics Animal production Animal breeding Biostatistics MCMC, Monte-Carlo Markov Chain methods

Authors and affiliations

  • Agustín Blasco
    • 1
  1. 1.Institute of Animal Science and TechnologyUniversitat Politècnica de ValènciaValènciaSpain

Bibliographic information

Industry Sectors
Pharma
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Biotechnology
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