Agustín Blasco

Bayesian Data Analysis for Animal Scientists (eBook, PDF)

The Basics

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 275
• Erscheinungstermin: 30. August 2017
• Englisch
• ISBN-13: 9783319542744
• Artikelnr.: 53064471

Autorenporträt

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).

Inhaltsangabe

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.