Bayesian Data Analysis for Animal Scientists The Basics /

• Main Author: Blasco, Agustín (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Subjects: Life sciences.; Agriculture.; Biostatistics.; Animal genetics.; Biomathematics.; Life Sciences.; Veterinary Medicine/Veterinary Science.; Mathematical and Computational Biology.; Animal Genetics and Genomics.

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, havin...

Table of Contents:

• Foreword
• Notation
• 1. Do we understand classical statistics?
• 2. The Bayesian choice
• 3. Posterior distributions
• 4. MCMC
• 5. The “baby” model
• 6. The linear model. I. The “fixed” effects model
• 7. The linear model. II. The “mixed” model
• 8. A scope of the possibilities of Bayesian inference + MCMC
• 9. Prior information
• 10. Model choice
• Appendix
• References.