Log-Gaussian Cox Process

A type of point process model that assumes the logarithm of the event intensity follows a Gaussian process. It is used to fit event clustering patterns in spatial statistics. Its likelihood involves an integral over the random intensity field, typically requiring numerical approximate inference.