Nonparametric inference for thinned point process

We consider possibly dependent data N1', ..., Nn' of the p-thinning N' of a point process N and construct estimators and of the thinning function p and of the Laplace functional of N. Under mixing conditions we prove the mean square convergence of , the uniform almost sure convergence of and and the asymptotic normality of .

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Year of publication:	1997
Authors:	Bensaïd, Nadia
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 33.1997, 3, p. 253-258
Publisher:	Elsevier
Subject:	Point process Kernel estimation Mixing

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005137975