The application of Gibbs sampling is considered for inference in a mixed inheritance model in animal populations. Implementation of the Gibbs sampler on scalar components, as used for human populations, appeared not to be efficient, and an approach with blockwise sampling of genotypes was proposed for use in animal populations. The blockwise sampling of genotypes was proposed for use in animal populations. The blockwise sampling by which genotypes of a sire and its final progeny were sampled jointly was effective in improving mixing, although further improvements could be looked for. Posterior densities of parameters were visualised from Gibbs samples; from the former highly marginalised Bayesian point and interval estimates can be obtained
Many genetic problems can be solved by Monte Carlo method. This often requires sampling genotype con...
Simultaneous analysis of multiple genetic variants is an essential strategy for understanding geneti...
Genetic linkage analysis involves estimating parameters in a genetic model in which a genetic trait ...
The application of Gibbs sampling is considered for inference in a mixed inheritance model in animal...
Abstract Background In the genetic analysis of binary traits with one observation per animal, animal...
An application of Gibbs sampling in animal breeding is carried out using two different types of prio...
Abstract Markov chain Monte Carlo (MCMC) methods have been widely used to overcome computational pro...
Abstract Simulated data were used to investigate the influence of the choice of priors on estimation...
AbstractEpistasis among loci is important factor behind the expression of many complex traits, but m...
A method for the detection of segregating major genes based on the analysis of estimated marginal po...
Probability functions such as likelihoods and genotype probabilities play an important role in the a...
We will begin this summary article by a brief review of Gibbs sampling and a conjugate-exponential m...
Although methods for computing likelihoods for simple genetic models on large and complex pedigrees ...
The potential epistasis that may explain a large portion of the phenotypic variation for complex tra...
Two procedures for computing the marginal posterior density of heritabilities or genetic correlatio...
Many genetic problems can be solved by Monte Carlo method. This often requires sampling genotype con...
Simultaneous analysis of multiple genetic variants is an essential strategy for understanding geneti...
Genetic linkage analysis involves estimating parameters in a genetic model in which a genetic trait ...
The application of Gibbs sampling is considered for inference in a mixed inheritance model in animal...
Abstract Background In the genetic analysis of binary traits with one observation per animal, animal...
An application of Gibbs sampling in animal breeding is carried out using two different types of prio...
Abstract Markov chain Monte Carlo (MCMC) methods have been widely used to overcome computational pro...
Abstract Simulated data were used to investigate the influence of the choice of priors on estimation...
AbstractEpistasis among loci is important factor behind the expression of many complex traits, but m...
A method for the detection of segregating major genes based on the analysis of estimated marginal po...
Probability functions such as likelihoods and genotype probabilities play an important role in the a...
We will begin this summary article by a brief review of Gibbs sampling and a conjugate-exponential m...
Although methods for computing likelihoods for simple genetic models on large and complex pedigrees ...
The potential epistasis that may explain a large portion of the phenotypic variation for complex tra...
Two procedures for computing the marginal posterior density of heritabilities or genetic correlatio...
Many genetic problems can be solved by Monte Carlo method. This often requires sampling genotype con...
Simultaneous analysis of multiple genetic variants is an essential strategy for understanding geneti...
Genetic linkage analysis involves estimating parameters in a genetic model in which a genetic trait ...
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