论文信息 - On Fitting Non-Stationary Markov Point Process Models on GLIM

On Fitting Non-Stationary Markov Point Process Models on GLIM

The possibility of fitting general non-stationary point process models on GLIM is considered. Of primary concern is the possibility of using pseudoliklihood to obtain parameter estimates for a spatial Markov process model applied to the colonisation of plants. Extension of the method to fitting cluster/Cox process models is also considered.

A. B. Lawson | A. Lawson

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