RESEARCH ARTICLE

Moderate deviations for neutral functional stochastic differential equations driven by Levy noises

  • Xiaocui MA 1 ,
  • Fubao XI , 2 ,
  • Dezhi LIU 3
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  • 1. Department of Mathematics, Jining University, Qufu 273155, China
  • 2. School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China
  • 3. School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu 233030, China

Received date: 30 Dec 2019

Accepted date: 26 Apr 2020

Published date: 15 Jun 2020

Copyright

2020 Higher Education Press

Abstract

Using the weak convergence method introduced by A. Budhiraja, P. Dupuis, and A. Ganguly [Ann. Probab., 2016, 44: 1723{1775], we establish the moderate deviation principle for neutral functional stochastic differential equations driven by both Brownian motions and Poisson random measures.

Cite this article

Xiaocui MA , Fubao XI , Dezhi LIU . Moderate deviations for neutral functional stochastic differential equations driven by Levy noises[J]. Frontiers of Mathematics in China, 2020 , 15(3) : 529 -554 . DOI: 10.1007/s11464-020-0836-y

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