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03/09/2022
Parsimonious Bayesian sparse tensor regression using the Tucker decomposition
Tensors, or multidimensional data arrays, require dimension reduction in...
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05/11/2021
Sketching in Bayesian High Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors
Bayesian computation of high dimensional linear regression models with a...
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06/01/2020
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
Varying coefficient models (VCMs) are widely used for estimating nonline...
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03/30/2019
Bayesian Mixed Effect Sparse Tensor Response Regression Model with Joint Estimation of Activation and Connectivity
Brain activation and connectivity analyses in task-based functional magn...
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03/30/2018
Large Multi-scale Spatial Kriging Using Tree Shrinkage Priors
We develop a multiscale spatial kernel convolution technique with higher...
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12/28/2017
A Divide-and-Conquer Bayesian Approach to Large-Scale Kriging
Flexible hierarchical Bayesian modeling of massive data is challenging d...
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01/15/2014
Bayesian Conditional Density Filtering
We propose a Conditional Density Filtering (C-DF) algorithm for efficien...
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03/04/2013