A simple algorithm to estimate genetic variance in an animal threshold model using Bayesian inference

Published 2010

Read in Norwegian

Publication details

Journal : Genetics Selection Evolution , vol. 42 , p. 7 , 2010

International Standard Numbers :
Printed : 0999-193X
Electronic : 1297-9686

Publication type : Academic article

Contributors : Ødegård, Jørgen; Meuwissen, Theodorus; Heringstad, Bjørg; Madsen, Per

Issue : 29

Links :
OMTALE : http://www.gsejournal.org/cont...
DOI : doi.org/10.1186/1297-9686-42-2...

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Summary

Conclusions: The new algorithm to estimate genetic parameters via Gibbs sampling solves the bias problems typically occurring in animal threshold model analysis of binary traits with one observation per animal. Furthermore, the method considerably speeds up mixing properties of the Gibbs sampler with respect to genetic parameters, which would be an advantage of any linear or non-linear animal model.