activity
20102021
most citedSpatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm

271 citations · 291 across the 11 of their papers we have counts for

collaborators

11 papers

stat.AP2021

Malaria Risk Mapping Using Routine Health System Incidence Data in Zambia

Benjamin M. Taylor, Ricardo Andrade-Pacheco, Hugh Sturrock +7

Improvements to Zambia's malaria surveillance system allow better monitoring of incidence and targetting of responses at refined spatial scales. As transmission decreases, understa…

stat.ME2020★ 3 cited

A Multi-Way Correlation Coefficient

Benjamin M. Taylor

Pearson's correlation is an important summary measure of the amount of dependence between two variables. It is natural to want to generalise the concept of correlation as a single…

stat.ME2019★ 2 cited

A Model-Based General Alternative to the Standardised Precipitation Index

Erick A. Chacón-Montalván, Luke Parry, Gemma Davies +1

In this paper, we introduce two new model-based versions of the widely-used standardized precipitation index (SPI) for detecting and quantifying the magnitude of extreme hydro-clim…

stat.ME2018

Mapping food insecurity in the Brazilian Amazon using a spatial item factor analysis model

Erick A. Chacón-Montalván, Luke Parry, Emanuele Giorgi +4

Food insecurity, a latent construct defined as the lack of consistent access to sufficient and nutritious food, is a pressing global issue with serious health and social justice im…

stat.ME2017

Continuous Inference for Aggregated Point Process Data

Benjamin M. Taylor, Ricardo Andrade-Pacheco, Hugh J. W. Sturrock

This article introduces new methods for inference with count data registered on a set of aggregation units. Such data are omnipresent in epidemiology due to confidentiality issues:…

stat.AP2015

Spatial Modelling of Emergency Service Response Times

Benjamin M. Taylor

This article concerns the statistical modelling of emergency service response times. We apply advanced methods from spatial survival analysis to deliver inference for data collecte…