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stat.AP2017
Geostatistical inference in the presence of geomasking: a composite-likelihood approach
Claudio Fronterrè, Emanuele Giorgi, Peter J. Diggle
In almost any geostatistical analysis, one of the underlying, often implicit, modelling assump- tions is that the spatial locations, where measurements are taken, are recorded with…
stat.AP2015
Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings
Peter J. Diggle, Emanuele Giorgi
In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within the region of interest,…