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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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08/17/2022
Bayesian Latent Variable Co-kriging Model in Remote Sensing for Observations with Quality Flagged
Remote sensing data products often include quality flags that inform use...
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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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09/12/2018
Spatio-Temporal Data Fusion for Massive Sea Surface Temperature Data from MODIS and AMSR-E Instruments
Remote sensing data have been widely used to study many geophysical proc...
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12/31/2017
Low-Cost Bayesian Inference for Additive Approximate Gaussian Process
Gaussian process models have been widely used in spatial/spatio-temporal...
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11/01/2017