Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Efficiency of alternative MCMC strategies illustrated using the reaction norm model.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie - 1 Jun 2008

Shariati M, Sorensen D

Abstract excerpt

The Markov chain Monte Carlo (MCMC) strategy provides remarkable flexibility for fitting complex hierarchical models. However, when parameters are highly correlated in their posterior distributions and their number is large, a particular MCMC algorithm may perform poorly and the resulting inferences may be affected. The objective of this study was to compare the efficiency (in terms of the asymptotic variance of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Analysis of Variance
Share to Bayes Theorem

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Breeding

Share to Environment

Share to Markov Chains

Share to Models, Genetic

Share to Monte Carlo Method

Source

Identifiers

PMID: 18479268
DOI: 10.1111/j.1439-0388.2008.00716.x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Efficiency of alternative MCMC strategies illustrated using the reaction norm model.PMID 18479268Read ↗

A comparison of strategies for Markov chain Monte Carlo computation in quantitative genetics.Semantic proximity Read ↗

Bayesian analysis of the linear reaction norm model with unknown covariates.Semantic proximity Read ↗

Analysis of milk production traits in early lactation using a reaction norm model with unknown covariates.Semantic proximity Read ↗

Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets.Semantic proximity Read ↗

Linear reaction norm models for genetic merit prediction of Angus cattle under genotype by environment interaction.Semantic proximity Read ↗

Genotype by environment interaction for tick resistance of Hereford and Braford beef cattle using reaction norm models.Semantic proximity Read ↗

Using coupling with the Gibbs sampler to assess convergence in animal models.Semantic proximity Read ↗

Monte Carlo estimation of total variation distance of Markov chains on large spaces, with application to phylogenetics.Semantic proximity Read ↗

An algorithm for Monte Carlo estimation of genotype probabilities on complex pedigrees.Semantic proximity Read ↗

Finite adaptation and multistep moves in the metropolis-hastings algorithm for variable selection in genome-wide association analysis.Semantic proximity Read ↗

Effects of data structure on the estimation of covariance functions to describe genotype by environment interactions in a reaction norm model.Semantic proximity Read ↗

A collaborative study on the precision of the Markov chain Monte Carlo algorithms used for DNA profile interpretation.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.