4.6 Article

Modeling Point Referenced Spatial Count Data: A Poisson Process Approach

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Summary: A new model was proposed for regression and dependence analysis of spatial data. By constructing stationary processes and using weighted pairwise likelihood, the properties and predictive performance of the t process were investigated, and the effectiveness of the methodology was validated through analyzing a real georeferenced dataset.

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