Article
Fast genomic prediction of breeding values using parallel Markov chain Monte Carlo with convergence diagnosis.
BMC bioinformatics - 3 Jan 2018
Guo Peng, Zhu Bo, Niu Hong, Wang Zezhao, Liang Yonghu, Chen Yan, Zhang Lupei, Ni Hemin, Guo Yong, Hay El Hamidi A, Gao Xue, Gao Huijiang, Wu Xiaolin, Xu Lingyang, Li Junya
Abstract excerpt
BACKGROUND: Running multiple-chain Markov Chain Monte Carlo (MCMC) provides an efficient parallel computing method for complex Bayesian models, although the efficiency of the approach critically depends on the length of the non-parallelizable burn-in period, for which all simulated data are discarded. In practice, this burn-in period is set arbitrarily and often leads to the performance of far more iterations...
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