Articles

PARAMETER ESTIMATION OF PATH-DEPENDENT MCKEAN-VLASOV STOCHASTIC DIFFERENTIAL EQUATIONS

  • Meiqi LIU ,
  • Huijie QIAO
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  • 1. Department of Mathematics, Southeast University, Nanjing, 211189, China;
    2. Department of Mathematics, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA

Received date: 2020-10-13

  Revised date: 2021-06-14

  Online published: 2022-06-24

Supported by

The second author is supported by NSF of China (11001051, 11371352, 12071071) and China Scholarship Council (201906095034).

Abstract

This work concerns a class of path-dependent McKean-Vlasov stochastic differential equations with unknown parameters. First, we prove the existence and uniqueness of these equations under non-Lipschitz conditions. Second, we construct maximum likelihood estimators of these parameters and then discuss their strong consistency. Third, a numerical simulation method for the class of path-dependent McKean-Vlasov stochastic differential equations is offered. Finally, we estimate the errors between solutions of these equations and that of their numerical equations.

Cite this article

Meiqi LIU , Huijie QIAO . PARAMETER ESTIMATION OF PATH-DEPENDENT MCKEAN-VLASOV STOCHASTIC DIFFERENTIAL EQUATIONS[J]. Acta mathematica scientia, Series B, 2022 , 42(3) : 876 -886 . DOI: 10.1007/s10473-022-0304-8

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