Intensity estimation for spatial point processes observed with noise

被引：12

作者：

Cucala, Lionel ^{[1
]}

机构：

[1] Univ Toulouse 3, Lab Stat & Probabilites, UMR C5583, Inst Math, F-31062 Toulouse 9, France

来源：

SCANDINAVIAN JOURNAL OF STATISTICS | 2008年 / 35卷 / 02期

关键词：

deconvolution; kernel density estimation; measurement error; spatial point processes;

D O I：

10.1111/j.1467-9469.2007.00583.x

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This article introduces a kernel estimator of the intensity function of spatial point processes taking into account location errors. The asymptotic properties of the estimator are derived and a bandwidth selection procedure is described. A simulation study compares our results with that of the classical kernel estimator and shows that the edge-corrected deconvoluting kernel estimator is more appropriate.

引用

页码：322 / 334

页数：13

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