Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7548824 | Statistics & Probability Letters | 2018 | 6 Pages |
Abstract
In applications of spatial point processes, it is often of interest to fit a parametric model for the intensity function. For this purpose Guan et al. (2015) recently introduced a quasi-likelihood type estimating function that is optimal in a certain class of first-order estimating functions. However, depending on the choice of certain tuning parameters, the implementation suggested in Guan et al. (2015) can be very demanding both in terms of computing time and memory requirements. Using a novel spectral representation, we construct in this paper an implementation that is computationally much more efficient than the one proposed in Guan et al. (2015).
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
C. Deng, R.P. Waagepetersen, M. Wang, Y. Guan,