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Status已发表Published
TitleErgodicity of affine processes on the cone of symmetric positive semidefinite matrices
Creator
Date Issued2020-09-01
Source PublicationAdvances in Applied Probability
ISSN0001-8678
Volume52Issue:3Pages:825-854
Abstract

This article investigates the long-Time behavior of conservative affine processes on the cone of symmetric positive semidefinite matrices. In particular, for conservative and subcritical affine processes we show that a finite-moment of the state-independent jump measure is sufficient for the existence of a unique limit distribution. Moreover, we study the convergence rate of the underlying transition kernel to the limit distribution: first, in a specific metric induced by the Laplace transform, and second, in the Wasserstein distance under a first moment assumption imposed on the state-independent jump measure and an additional condition on the diffusion parameter.

KeywordAffine process ergodicity invariant distribution limit distribution
DOI10.1017/apr.2020.21
URLView source
Indexed BySCIE ; SSCI
Language英语English
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000574629400005
Scopus ID2-s2.0-85092212823
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/7929
CollectionResearch outside affiliated institution
Affiliation
1.School of Mathematics and Natural Sciences, University of Wuppertal, Wuppertal, 42119, Germany
2.Shantou University, China
Recommended Citation
GB/T 7714
Friesen, Martin,Jin, Peng,Kremer, Jonaset al. Ergodicity of affine processes on the cone of symmetric positive semidefinite matrices[J]. Advances in Applied Probability, 2020, 52(3): 825-854.
APA Friesen, Martin, Jin, Peng, Kremer, Jonas, & Rüdiger, Barbara. (2020). Ergodicity of affine processes on the cone of symmetric positive semidefinite matrices. Advances in Applied Probability, 52(3), 825-854.
MLA Friesen, Martin,et al."Ergodicity of affine processes on the cone of symmetric positive semidefinite matrices". Advances in Applied Probability 52.3(2020): 825-854.
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