26 citations · 47 across the 3 of their papers we have counts for
3 papers
stat.ME2023★ 3 cited
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.ME2022★ 18 cited
Big problems in spatio-temporal disease mapping: methods and software
E. Orozco-Acosta, A. Adin, M. D. Ugarte
Fitting spatio-temporal models for areal data is crucial in many fields such as cancer epidemiology. However, when data sets are very large, many issues arise. The main objective o…
stat.ME2020★ 26 cited
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…