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02/07/2022
Constructing Large Nonstationary Spatio-Temporal Covariance Models via Compositional Warpings
Understanding and predicting environmental phenomena often requires the ...
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05/10/2021
Warped Gradient-Enhanced Gaussian Process Surrogate Models for Inference with Intractable Likelihoods
Markov chain Monte Carlo methods for intractable likelihoods, such as th...
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04/18/2020
Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations
Multivariate spatial-statistical models are useful for modeling environm...
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06/06/2019