Fluctuations for mean-field interacting age-dependent Hawkes processes

被引:13
|
作者
Chevallier, Julien [1 ]
机构
[1] Univ Cergy Pontoise, AGM UMR CNRS 8088, D-95302 Cergy Pontoise, Germany
来源
ELECTRONIC JOURNAL OF PROBABILITY | 2017年 / 22卷
关键词
Hawkes process; central limit theorem; interacting particle systems; stochastic partial differential equation; neural network; MODEL; OSCILLATIONS; PROPAGATION; CHAOS;
D O I
10.1214/17-EJP63
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
The propagation of chaos and associated law of large numbers for mean-field interacting age-dependent Hawkes processes (when the number of processes n goes to + infinity) being granted by the study performed in [9], the aim of the present paper is to prove the resulting functional central limit theorem. It involves the study of a measure-valued process describing the fluctuations (at scale n(-1/2)) of the empirical measure of the ages around its limit value. This fluctuation process is proved to converge towards a limit process characterized by a limit system of stochastic differential equations driven by a Gaussian noise instead of Poisson (which occurs for the law of large numbers limit).
引用
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页数:50
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