3 citations · 5 across the 3 of their papers we have counts for
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stat.ME2011★ 3 cited
Efficient Gaussian Process Regression for Large Data Sets
Anjishnu Banerjee, David Dunson, Surya Tokdar
Gaussian processes (GPs) are widely used in nonparametric regression, classification and spatio-temporal modeling, motivated in part by a rich literature on theoretical properties.…
stat.ME2011★ 2 cited
Density Estimation and Classification via Bayesian Nonparametric Learning of Affine Subspaces
Abhishek Bhattacharya, Garritt Page, David Dunson
It is now practically the norm for data to be very high dimensional in areas such as genetics, machine vision, image analysis and many others. When analyzing such data, parametric…