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08/14/2022
A Scalable Method to Exploit Screening in Gaussian Process Models with Noise
A common approach to approximating Gaussian log-likelihoods at scale exp...
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06/10/2022
Scalable Computations for Nonstationary Gaussian Processes
Nonstationary Gaussian process models can capture complex spatially vary...
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01/01/2022
Fitting Matérn Smoothness Parameters Using Automatic Differentiation
The Matérn covariance function is ubiquitous in the application of Gauss...
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07/22/2020
Flexible nonstationary spatio-temporal modeling of high-frequency monitoring data
Many physical datasets are generated by collections of instruments that ...
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08/09/2018