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Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks
Deep neural network (DNN) models have achieved state-of-the-art predictive accuracy in a wide range of supervised learning applications.
Image Response Regression via Deep Neural Networks
Delineating the associations between images and a vector of covariates is of central interest in medical imaging studies.
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