3 papers
physics.comp-ph2020
Constrained Bayesian Nonparametric Regression for Grain Boundary Energy Predictions
Haoyu Wang, Srikanth Patala, Brian J. Reich
Grain boundary (GB) energy is a fundamental property that affects the form of grain boundary and plays an important role to unveil the behavior of polycrystalline materials. With a…
stat.AP2019
A comparison of statistical and machine learning methods for creating national daily maps of ambient PM concentration
Veronica J. Berrocal, Yawen Guan, Amanda Muyskens +4
A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited…
stat.ML2019
Nearest-Neighbor Neural Networks for Geostatistics
Haoyu Wang, Yawen Guan, Brian J Reich
Kriging is the predominant method used for spatial prediction, but relies on the assumption that predictions are linear combinations of the observations. Kriging often also relies…