1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.CO2023★ 1 cited
GeoAdjust: Adjusting for Positional Uncertainty in Geostatistial Analysis of DHS Data
Umut Altay, John Paige, Andrea Riebler +1
The R-package GeoAdjust https://github.com/umut-altay/GeoAdjust-package implements fast empirical Bayesian geostatistical inference for household survey data from the Demographic a…
stat.AP2022
Impact of Jittering on Raster- and Distance-based Geostatistical Analyses of DHS Data
Umut Altay, John Paige, Andrea Riebler +1
Fine-scale covariate rasters are routinely used in geostatistical models for mapping demographic and health indicators based on household surveys from the Demographic and Health Su…
stat.CO2022★ 1 cited
Fast geostatistical inference under positional uncertainty: Analysing DHS household survey data
Umut Altay, John Paige, Andrea Riebler +1
Household survey data from the Demographic and Health Surveys (DHS) Program is published with GPS coordinates. However, almost all geostatistical analyses of such data ignore that…