3 papers
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.ME2016
Inhibitory geostatistical designs for spatial prediction taking account of uncertain covariance structure
Michael G. Chipeta, Dianne J. Terlouw, Kamija S. Phiri +1
The problem of choosing spatial sampling designs for investigating unobserved spatial phenomenon S arises in many contexts, for example in identifying households to select for a pr…
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,…