12 citations · 34 across the 14 of their papers we have counts for
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Inference for log Gaussian Cox processes using an approximate marginal posterior
Shinichiro Shirota, Alan E. Gelfand
The log Gaussian Cox process is a flexible class of point pattern models for capturing spatial and spatio-temporal dependence for point patterns. Model fitting requires approximati…
Space and circular time log Gaussian Cox processes with application to crime event data
Shinichiro Shirota, Alan E. Gelfand
We view the locations and times of a collection of crime events as a space-time point pattern. So, with either a nonhomogeneous Poisson process or with a more general Cox process,…
Approximate Marginal Posterior for Log Gaussian Cox Processes
Shinichiro Shirota, Alan. E. Gelfand
The log Gaussian Cox process is a flexible class of Cox processes, whose intensity surface is stochastic, for incorporating complex spatial and time structure of point patterns. Th…
Approximate Bayesian Computation and Model Validation for Repulsive Spatial Point Processes
Shinichiro Shirota, Alan. E. Gelfand
In many applications involving spatial point patterns, we find evidence of inhibition or repulsion. The most commonly used class of models for such settings are the Gibbs point pro…