## A comparison of strategies for Markov chain Monte Carlo computation in quantitative genetics

- Rasmus Waagepetersen, Noelia Ibánẽz-Escriche, Daniel Sorensen
- Genetics Selection Evolution
- 2007

Highly Influenced

@article{GarcaCorts1996OnAM, title={On a multivariate implementation of the Gibbs sampler}, author={L A Garc{\'i}a-Cort{\'e}s and D Sorensen}, journal={Genetics, Selection, Evolution : GSE}, year={1996}, volume={28}, pages={121 - 126} }

- Published 1996 in Genetics Selection Evolution
DOI:10.1186/1297-9686-28-1-121

It is well established that when the parameters in a model are correlated, the rate of convergence of Gibbs chains to the appropriate stationary distributions is faster and Monte-Carlo variances of features of these distributions are lower for a given chain length, when the Gibbs sampler is implemented by blocking the correlated parameters and sampling from the respective conditional posterior distributions takes place in a multivariate rather than in a scalar fashion. This block sampling… CONTINUE READING

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