168 citations · 768 across the 62 of their papers we have counts for
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stat.ML2020★ 1 cited
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting
David B. Huberman, Brian J. Reich, Howard D. Bondell
Short-term forecasting is an important tool in understanding environmental processes. In this paper, we incorporate machine learning algorithms into a conditional distribution esti…
stat.ML2020★ 11 cited
DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Prediction
Wanfang Chen, Yuxiao Li, Brian J Reich +1
In spatial statistics, a common objective is to predict values of a spatial process at unobserved locations by exploiting spatial dependence. Kriging provides the best linear unbia…