A nonparametric test for Cox processes

Autor: Cadre, Benoît, Massiot, Gaspar, Truquet, Lionel
Rok vydání: 2016
Předmět:
Druh dokumentu: Working Paper
Popis: In a functional setting, we propose two test statistics to highlight the Poisson nature of a Cox process when n copies of the process are available. Our approach involves a comparison of the empirical mean and the empirical variance of the functional data and can be seen as an extended version of a classical overdispersion test for counting data. The limiting distributions of our statistics are derived using a functional central limit theorem for c`adl`ag martingales. We also study the asymptotic power of our tests under some local alternatives. Our procedure is easily implementable and does not require any knowledge of covariates. A numerical study reveals the good performances of the method. We also present two applications of our tests to real data sets.
Databáze: arXiv