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机译:一种计算上高效的贝叶斯看似无关的回归模型,用于高维定量特质基因座发现
Department of Medical Genetics University of Cambridge Cambridge UK The Alan Turing Institute London UK MRC Biostatistics Unit Cambridge UK;
Department of Medical Statistics London School of Hygiene and Tropical Medicine London UK;
The Alan Turing Institute London UK MRC Biostatistics Unit Cambridge UK;
Computational Medicine Faculty of Medicine University of Oulu and Biocenter Oulu Oulu Finland NMR Metabolomics Laboratory School of Pharmacy University of Eastern Finland Kuopio Finland;
Center for Life Course Health Research University of Oulu Oulu Finland Biocenter Oulu University of Oulu Oulu Finland Department of Epidemiology and Biostatistics Imperial College London London UK MRC-PHE Centre for Environment and Health Imperial College London London UK Department of Life Sciences Brunei University London Uxbridge UK;
Department of Medical Statistics London School of Hygiene and Tropical Medicine London UK;
Bayesian computation; covariance reparametrisation; graphical models; Markov chain Monte Carlo; metabolomics; quantitative trait loci;
机译:一种有效的贝叶斯模型选择方法,用于交互具有许多作用的定量性状基因座模型。
机译:一种有效的交互作用多数量性状位点模型的贝叶斯模型选择方法
机译:使用混合线性模型和贝叶斯多元回归分析对混合种群中的数量性状基因座进行全基因组定位
机译:贝叶斯变量选择回归的多数量性状基因座定位新算法
机译:美国旅游需求:看似无关的回归方程模型。
机译:一种有效的交互作用多数量性状位点模型的贝叶斯模型选择方法
机译:基于看似无关回归的多元数量性状的贝叶斯模型