Description
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
Author: Agustín Blasco
Publisher: Springer
Published: 09/14/2017
Pages: 275
Binding Type: Hardcover
Weight: 1.41lbs
Size: 9.72h x 6.49w x 0.87d
ISBN13: 9783319542737
ISBN10: 3319542737
BISAC Categories:
- Technology & Engineering | Agriculture | General
- Medical | Veterinary Medicine | General
- Mathematics | Applied
About the Author
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).