A Note on Functional Limit Theorems for Compound Cox Processes*


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Abstract

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.

About the authors

V. Yu. 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

Author for correspondence.
Email: vkorolev@cs.msu.ru
Russian Federation, Moscow; Moscow

A. V. Chertok

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

Email: vkorolev@cs.msu.ru
Russian Federation, Moscow; Moscow

A. Yu. Korchagin

Faculty of Computational Mathematics and Cybernetics, Moscow State University

Email: vkorolev@cs.msu.ru
Russian Federation, Moscow

E. V. Kossova

National Research University Higher School of Economics

Email: vkorolev@cs.msu.ru
Russian Federation, Moscow

A. I. Zeifman

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

Email: vkorolev@cs.msu.ru
Russian Federation, Vologda; Moscow

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