We generalize the classic change-point problem to a “change-set” framework: a spatial Poisson process changes its intensity on an unobservable random set. Optimal detection of the set is defined by maximizing the expected value of a gain function. In the case that the unknown change-set is defined by a locally finite set of incomparable points, we present a sufficient condition for optimal detection of the set using multiparameter martingale techniques. Two examples are discussed.
@article{1268143435,
author = {Ivanoff, B. Gail and Merzbach, Ely},
title = {Optimal detection of a change-set in a spatial Poisson process},
journal = {Ann. Appl. Probab.},
volume = {20},
number = {1},
year = {2010},
pages = { 640-659},
language = {en},
url = {http://dml.mathdoc.fr/item/1268143435}
}
Ivanoff, B. Gail; Merzbach, Ely. Optimal detection of a change-set in a spatial Poisson process. Ann. Appl. Probab., Tome 20 (2010) no. 1, pp. 640-659. http://gdmltest.u-ga.fr/item/1268143435/