3 papers
stat.ME2025
Integrating Expert Knowledge and Recursive Bayesian Inference: A Framework for Spatial and Spatio-Temporal Data Challenges
Mario Figueira, David Conesa, Antonio López-QuÃlez +1
Integrating heterogeneous data sources and expert knowledge is essential for overcoming data scarcity and enhancing estimation accuracy. Two main frameworks naturally arise to perf…
stat.ME2025
Overcoming Standardization: Revealing Hidden Age Patterns of Suicide with Spatiotemporal Models
J. MartÃn-Pozuelo, A. López-QuÃlez, X. Barber +1
Indirect standardization is widely used in disease mapping to control for confounding, but relies on restrictive assumptions that may bias estimates if violated. Using data on suic…
stat.AP2024
Spatial Risk Patterns-ANOVA: Multivariate Analysis Of Suicide-Related Emergency Calls
P. Escobar-Hernández, A. López-QuÃlez, F. PalmÃ-Perales +1
Multivariate spatial disease mapping has become a pivotal part of everyday practice in social epidemiology. Despite the existence of several specifications for the relation between…