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20152023
most citedThe -family of covariance functions: A Matérn analogue for modeling random fields on spheres

1 citations · 3 across the 5 of their papers we have counts for

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stat.ME20211 cited

Interoperability of statistical models in pandemic preparedness: principles and reality

George Nicholson, Marta Blangiardo, Mark Briers +12

We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving p…

stat.ME20211 cited

The -family of covariance functions: A Matérn analogue for modeling random fields on spheres

Alfredo Alegría, Francisco Cuevas-Pacheco, Peter Diggle +1

The Mat{é}rn family of isotropic covariance functions has been central to the theoretical development and application of statistical models for geospatial data. For global data def…

stat.ME2019

A Spatially Discrete Approximation to Log-Gaussian Cox Processes for Modelling Aggregated Disease Count Data

Olatunji Johnson, Peter Diggle, Emanuele Giorgi

In this paper, we develop a computationally efficient discrete approximation to log-Gaussian Cox process (LGCP) models for the analysis of spatially aggregated disease count data.…

stat.ME2018

Linear Mixed-Effects Models for Non-Gaussian Repeated Measurement Data

Özgür Asar, David Bolin, Peter J. Diggle +1

We consider the analysis of continuous repeated measurement outcomes that are collected through time, also known as longitudinal data. A standard framework for analysing data of th…

stat.ME2018

Geostatistical methods for disease mapping and visualization using data from spatio-temporally referenced prevalence surveys

Emanuele Giorgi, Peter J. Diggle, Robert W. Snow +1

In this paper we set out general principles and develop geostatistical methods for the analysis of data from spatio-temporally referenced prevalence surveys. Our objective is to pr…

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…