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Estimates of the Difference Between Two Probability Densities of Wiener Functionals and Its Application
Cao, Guilan1; He, Kai1,2,3
2020-02-01
Source PublicationJOURNAL OF THEORETICAL PROBABILITY
ISSN0894-9840
Pages27
AbstractThis study investigates precise estimates of the difference between two probability densities of Wiener functionals in the space of continuously differentiable functions and the Holder continuous functions. As an application, the convergence rate of the density of the solution to non-Markovian stochastic differential equations is derived utilizing these precise estimates.
KeywordDonsker's delta function Nondegenerate Integration by parts Non-Markovian SDE Convergence rate
DOI10.1007/s10959-020-00986-2
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[11371352] ; National Natural Science Foundation of China[11431014] ; Key Laboratory of Random Complex Structures and Data Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences[2008DP173182]
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000510372300001
PublisherSPRINGER/PLENUM PUBLISHERS
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/50766
Collection应用数学研究所
Corresponding AuthorHe, Kai
Affiliation1.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Key Lab Random Complex Struct & Data Sci, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Cao, Guilan,He, Kai. Estimates of the Difference Between Two Probability Densities of Wiener Functionals and Its Application[J]. JOURNAL OF THEORETICAL PROBABILITY,2020:27.
APA Cao, Guilan,&He, Kai.(2020).Estimates of the Difference Between Two Probability Densities of Wiener Functionals and Its Application.JOURNAL OF THEORETICAL PROBABILITY,27.
MLA Cao, Guilan,et al."Estimates of the Difference Between Two Probability Densities of Wiener Functionals and Its Application".JOURNAL OF THEORETICAL PROBABILITY (2020):27.
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