Selection of the bandwidth parameter in a bayesian kernel regression model fo...

One of the most widely used kernel functions in genomic-enabled prediction is the Gaussian kernel. Usually selection of the bandwidth parameter for kernel regression is based on cross-validation. In this study, we propose a Bayesian method for selecting the bandwidth parameter h of a Gaussian kernel as the mode of its posterior distribution. We present a...