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Bayesian Nonparametric Approaches to Ordinal Drought Modeling in the United States
Data observed over space and time can exhibit dependence across both dimensions, and datasets can grow very large in both the number of locations and the number of time periods. This dependence and data size mean that many statistical models cannot be fit at a reasonable computational cost as a resu
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