271 citations · 291 across the 11 of their papers we have counts for
3 papers · 1 filter
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…