271 citations · 291 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
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…
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:…
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…
Auxiliary Variable Markov Chain Monte Carlo for Spatial Survival and Geostatistical Models
Benjamin M. Taylor
This article was motivated by the desire to improve Markov chain Monte Carlo methods for spatial survival models in which the locations of individuals in space are known. For a dat…
Spatial and Spatio-Temporal Log-Gaussian Cox Processes: Extending the Geostatistical Paradigm
Peter J. Diggle, Paula Moraga, Barry Rowlingson +1
In this paper we first describe the class of log-Gaussian Cox processes (LGCPs) as models for spatial and spatio-temporal point process data. We discuss inference, with a particula…
INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes
Benjamin M. Taylor, Peter J. Diggle
We investigate two options for performing Bayesian inference on spatial log-Gaussian Cox processes assuming a spatially continuous latent field: Markov chain Monte Carlo (MCMC) and…
lgcp An R Package for Inference with Spatio-Temporal Log-Gaussian Cox Processes
Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson +1
This paper introduces an R package for spatio-temporal prediction and forecasting for log-Gaussian Cox processes. The main computational tool for these models is Markov chain Monte…
An Adaptive Sequential Monte Carlo Sampler
Paul Fearnhead, Benjamin M. Taylor
Sequential Monte Carlo (SMC) methods are not only a popular tool in the analysis of state space models, but offer an alternative to MCMC in situations where Bayesian inference must…