Technical Note: How to use Winbugs to infer animal models

Lars Holm Damgaard

doi:10.2527/jas.2006-543

Technical Note: How to use Winbugs to infer animal models

Lars Holm Damgaard

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

23 Citationer (Scopus)

Abstract

This paper deals with Bayesian inferences of animal models usingGibbs sampling. First, we suggest a general and efficient methodfor updating additive genetic effects, in which the computationalcost is independent of the pedigree depth and increases linearlyonly with the size of the pedigree. Second, we show how thisapproach can be used to draw inferences from a wide range ofanimal models using the computer package Winbugs. Finally, weillustrate the approach in a simulation study, in which thedata are generated and analyzed using Winbugs according to alinear model with i.i.d errors having Student's t distributions.In conclusion, Winbugs can be used to make inferences in small-sized,quantitative, genetic data sets applying a wide range of animalmodels that are not yet standard in the animal breeding literature

Originalsprog	Engelsk
Tidsskrift	Journal of Animal Science
Nummer	85
Sider (fra-til)	1363-1368
Antal sider	6
ISSN	0021-8812
DOI	https://doi.org/10.2527/jas.2006-543
Status	Udgivet - 2007

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10.2527/jas.2006-543

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title = "Technical Note: How to use Winbugs to infer animal models",

abstract = "This paper deals with Bayesian inferences of animal models using Gibbs sampling. First, we suggest a general and efficient method for updating additive genetic effects, in which the computational cost is independent of the pedigree depth and increases linearly only with the size of the pedigree. Second, we show how this approach can be used to draw inferences from a wide range of animal models using the computer package Winbugs. Finally, we illustrate the approach in a simulation study, in which the data are generated and analyzed using Winbugs according to a linear model with i.i.d errors having Student's t distributions. In conclusion, Winbugs can be used to make inferences in small-sized, quantitative, genetic data sets applying a wide range of animal models that are not yet standard in the animal breeding literature",

keywords = "Bayesian inference, Winbugs, Genetics",

author = "Damgaard, {Lars Holm}",

year = "2007",

doi = "10.2527/jas.2006-543",

language = "English",

pages = "1363--1368",

journal = "Journal of Animal Science",

issn = "0021-8812",

publisher = "Oxford University Press",

number = "85",

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AU - Damgaard, Lars Holm

PY - 2007

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N2 - This paper deals with Bayesian inferences of animal models using Gibbs sampling. First, we suggest a general and efficient method for updating additive genetic effects, in which the computational cost is independent of the pedigree depth and increases linearly only with the size of the pedigree. Second, we show how this approach can be used to draw inferences from a wide range of animal models using the computer package Winbugs. Finally, we illustrate the approach in a simulation study, in which the data are generated and analyzed using Winbugs according to a linear model with i.i.d errors having Student's t distributions. In conclusion, Winbugs can be used to make inferences in small-sized, quantitative, genetic data sets applying a wide range of animal models that are not yet standard in the animal breeding literature

AB - This paper deals with Bayesian inferences of animal models using Gibbs sampling. First, we suggest a general and efficient method for updating additive genetic effects, in which the computational cost is independent of the pedigree depth and increases linearly only with the size of the pedigree. Second, we show how this approach can be used to draw inferences from a wide range of animal models using the computer package Winbugs. Finally, we illustrate the approach in a simulation study, in which the data are generated and analyzed using Winbugs according to a linear model with i.i.d errors having Student's t distributions. In conclusion, Winbugs can be used to make inferences in small-sized, quantitative, genetic data sets applying a wide range of animal models that are not yet standard in the animal breeding literature

KW - Bayesian inference

KW - Winbugs

KW - Genetics

U2 - 10.2527/jas.2006-543

DO - 10.2527/jas.2006-543

M3 - Journal article

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SP - 1363

EP - 1368

JO - Journal of Animal Science

JF - Journal of Animal Science

IS - 85

ER -

Technical Note: How to use Winbugs to infer animal models

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