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stat.ME2023
A scalable approach for short-term disease forecasting in high spatial resolution areal data
E. Orozco-Acosta, A. Riebler, A. Adin +1
Short-term disease forecasting at specific discrete spatial resolutions has become a high-impact decision-support tool in health planning. However, when the number of areas is very…
stat.ME2020
Scalable Bayesian modeling for smoothing disease risks in large spatial data sets
E. Orozco-Acosta, A. Adin, M. D. Ugarte
Several methods have been proposed in the spatial statistics literature for the analysis of big data sets in continuous domains. However, new methods for analyzing high-dimensional…