A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Variable selection for inhomogeneous spatial point process models
2015
Canadian journal of statistics
In this work, we consider variable selection when modeling the intensity and clustering of inhomogeneous spatial point processes, integrating well-known procedures in the respective fields of variable selection and spatial point process modeling to introduce a simple procedure for variable selection in spatial point process modeling. Specifically, we consider modeling spatial point data with Poisson, pairwise interaction and Neyman-Scott cluster models, and incorporate LASSO, adaptive LASSO and
doi:10.1002/cjs.11244
fatcat:3yqkbgerabcjtie6ymmr74slw4