Tensors, or multidimensional data arrays, require dimension reduction in...
Bayesian computation of high dimensional linear regression models with a...
Varying coefficient models (VCMs) are widely used for estimating nonline...
Brain activation and connectivity analyses in task-based functional magn...
We develop a multiscale spatial kernel convolution technique with higher...
Flexible hierarchical Bayesian modeling of massive data is challenging d...
We propose a Conditional Density Filtering (C-DF) algorithm for efficien...
As an alternative to variable selection or shrinkage in high dimensional...