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01/07/2021
Modeling massive multivariate spatial data with the basis graphical lasso
We propose a new modeling framework for highly multivariate spatial proc...
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10/08/2020
HECT: High-Dimensional Ensemble Consistency Testing for Climate Models
Climate models play a crucial role in understanding the effect of enviro...
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12/31/2019
Combining interdependent climate model outputs in CMIP5: A spatial Bayesian approach
Projections of future climate change rely heavily on climate models, and...
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11/25/2019
Unlocking GOES: A Statistical Framework for Quantifying the Evolution of Convective Structure in Tropical Cyclones
Tropical cyclones (TCs) rank among the most costly natural disasters in ...
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04/30/2019
Pushing the Limit: A Hybrid Parallel Implementation of the Multi-resolution Approximation for Massive Data
The multi-resolution approximation (MRA) of Gaussian processes was recen...
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06/29/2018
Marginally Parametrized Spatio-Temporal Models and Stepwise Maximum Likelihood Estimation
In order to learn the complex features of large spatio-temporal data, mo...
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11/21/2017