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07/17/2023
Evaluating Climate Models with Sliced Elastic Distance
The validation of global climate models plays a crucial role in ensuring...
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12/21/2022
Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data
Machine learning methods have seen increased application to geospatial e...
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02/08/2022
Multi-model Ensemble Analysis with Neural Network Gaussian Processes
Multi-model ensemble analysis integrates information from multiple clima...
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01/08/2022
Bayesian Changepoint Estimation for Spatially Indexed Functional Time Series
We propose a Bayesian hierarchical model to simultaneously estimate mean...
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01/06/2022
The effect of co-location of human communication networks
The ability to rewire ties in communication networks is vital for large-...
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08/05/2020
Scalable Multiple Changepoint Detection for Functional Data Sequences
We propose the Multiple Changepoint Isolation (MCI) method for detecting...
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09/03/2019
Evaluating proxy influence in assimilated paleoclimate reconstructions – Testing the exchangeability of two ensembles of spatial processes
Climate field reconstructions (CFR) attempt to estimate spatiotemporal f...
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07/15/2019
