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stat.ME2025
Improving Disease Risk Estimation in Small Areas by Accounting for Spatiotemporal Local Discontinuities
G. Santafé, A. Adin, M. D. Ugarte
This work proposes a two-step method to enhance disease risk estimation in small areas by integrating spatiotemporal cluster detection within a Bayesian hierarchical spatiotemporal…
stat.ME2025
A proposal for homoscedastic modelling with conditional auto-regressive distributions
Miguel A. Martinez-Beneito, Aritz Adín, Tomás Goicoa +1
Conditional auto-regressive (CAR) distributions are widely used to induce spatial dependence in the geographic analysis of areal data. These distributions establish multivariate de…
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…