Central limit theorem for Gibbsian U-statistics of facet processes
Probability
2015-10-06 v2
Abstract
Special case of a Gibbsian facet process on a fixed window with a discrete orientation distribution and with increasing intensity of the underlying Poisson process is studied. All asymptotic moments for interaction U-statistics are calculated and using the method of moments the central limit theorem is derived.
Keywords
Cite
@article{arxiv.1504.03589,
title = {Central limit theorem for Gibbsian U-statistics of facet processes},
author = {Jakub Vecera},
journal= {arXiv preprint arXiv:1504.03589},
year = {2015}
}
Comments
15 pages