Finite Adaptation and Multistep Moves in the Metropolis-Hastings Algorithm for Variable Selection in Genome-Wide Association Anal-
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چکیده
Step 1: τ 2 The components of τ 2 can be sampled independently with only the corresponding element of η affecting the sampling. For efficiency of the implementation, only τ j for j with γj = 1 are actually sampled in this step as the others do not affect the linear model. For others, the full conditional distribution is the prior and sampling is done just-in-time, if they are considered for addition to the model in the third step. When γj = 1,
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Finite Adaptation and Multistep Moves in the Metropolis-Hastings Algorithm for Variable Selection in Genome-Wide Association Analysis
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