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06/11/2023
A Penalized Poisson Likelihood Approach to High-Dimensional Semi-Parametric Inference for Doubly-Stochastic Point Processes
Doubly-stochastic point processes model the occurrence of events over a ...
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02/26/2023
Recursive Nearest Neighbor Co-Kriging Models for Big Multiple Fidelity Spatial Data Sets
Large datasets are daily gathered from different remote sensing platform...
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04/03/2020
Hierarchical Bayesian Nearest Neighbor Co-Kriging Gaussian Process Models; An Application to Intersatellite Calibration
Recent advancements in remote sensing technology and the increasing size...
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08/14/2018