3 papers
stat.ME2026
On improving the estimates of the sampling variances via Global-Local priors in Small Area Estimation
Sirapat Watakajaturaphon, Jairo Fúquene-Patiño
The Fay-Herriot (FH) model is widely used in official statistics to produce reliable estimates for domains with small sample sizes. In the classical FH model, the sampling variance…
stat.ME2025
Fully Bayesian Spectral Clustering and Benchmarking with Uncertainty Quantification for Small Area Estimation
Jairo Fúquene-Patiño
In this work, inspired by machine learning techniques, we propose a new Bayesian model for Small Area Estimation (SAE), the Fay-Herriot model with Spectral Clustering (FH-SC). Unli…
stat.AP2023
A Bayesian approach to estimate the completeness of death registration
Jairo Fúquene Patiño, Tim Adair
Civil registration and vital statistics (CRVS) systems should be the primary source of mortality data for governments. Accurate and timely measurement of the completeness of death…