Peter J. Diggle

most citedINLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

stat.AP2014

On The Inverse Geostatistical Problem of Inference on Missing Locations

Emanuele Giorgi, Peter J. Diggle

The standard geostatistical problem is to predict the values of a spatially continuous phenomenon, $S (x)$ say, at locations $x$ using data $(y_{i}, x_{i}) : i = 1, .., n$ where $y_{i}$ is the r…

stat.CO2012★ 4 cited

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…