Nonparametric estimation of the jump rate for non-homogeneous marked renewal processes

被引:7
作者
Azais, Romain [1 ]
Dufour, Francois
Gegout-Petit, Anne
机构
[1] INRIA Bordeaux Sud Ouest, Team CQFD, Bordeaux, France
来源
ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES | 2013年 / 49卷 / 04期
关键词
Non-homogeneous marked renewal process; Nonparametric estimation; Jump rate estimation; Nelson-Aalen estimator; Asymptotic consistency; Ergodicity of Markov chains; REGRESSION; INFERENCE;
D O I
10.1214/12-AIHP503
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 paper is devoted to the nonparametric estimation of the jump rate and the cumulative rate for a general class of non-homogeneous marked renewal processes, defined on a separable metric space. In our framework, the estimation needs only one observation of the process within a long time. Our approach is based on a generalization of the multiplicative intensity model, introduced by Aalen in the seventies. We provide consistent estimators of these two functions, under some assumptions related to the ergodicity of an embedded chain and the characteristics of the process. The paper is illustrated by a numerical example.
引用
收藏
页码:1204 / 1231
页数:28
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