A Note on Functional Limit Theorems for Compound Cox Processes*


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An improved and corrected version of the functional limit theorem is proved establishing weak convergence of random walks generated by compound doubly stochastic Poisson processes (compound Cox processes) to Lévy processes in the Skorokhod space under more realistic moment conditions. As corollaries, theorems are proved on convergence of random walks with jumps having finite variances to Lévy processes with variance-mean mixed normal distributions, in particular, to stable Lévy processes, generalized hyperbolic and generalized variance-gamma Lévy processes.

作者简介

V. Korolev

Faculty of Computational Mathematics and Cybernetics, Moscow State University; Institute of Informatics Problems of Federal Research Center “Informatics and Control”, Russian Academy of Sciences

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Email: vkorolev@cs.msu.ru
俄罗斯联邦, Moscow; Moscow

A. Chertok

Faculty of Computational Mathematics and Cybernetics, Moscow State University; Euphoria Group LLC

Email: vkorolev@cs.msu.ru
俄罗斯联邦, Moscow; Moscow

A. Korchagin

Faculty of Computational Mathematics and Cybernetics, Moscow State University

Email: vkorolev@cs.msu.ru
俄罗斯联邦, Moscow

E. Kossova

National Research University Higher School of Economics

Email: vkorolev@cs.msu.ru
俄罗斯联邦, Moscow

A. Zeifman

Vologda State University; Institute of Informatics Problems of Federal Research Center “Informatics and Control”, Russian Academy of Sciences

Email: vkorolev@cs.msu.ru
俄罗斯联邦, Vologda; Moscow

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