发表状态 | 已发表Published |
题名 | Characterising the path-independent property of the Girsanov density for degenerated stochastic differential equations |
作者 | |
发表日期 | 2018-02-01 |
发表期刊 | Statistics and Probability Letters
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ISSN/eISSN | 0167-7152 |
卷号 | 133页码:71-79 |
摘要 | In this paper, we derive a characterisation theorem for the path-independent property of the density of the Girsanov transformation for degenerated stochastic differential equations (SDEs), extending the characterisation theorem of Truman et al. (2012) for the non-degenerated SDEs. We further extend our consideration to non-Lipschitz SDEs with jumps and with degenerated diffusion coefficients, which generalises the corresponding characterisation theorem established in Qiao and Wu (submitted for publication). |
关键词 | Degenerated stochastic differential equations (SDEs) Girsanov transformation Non-Lipschitz SDEs with jumps Semi-linear partial integro-differential equation of parabolic type |
DOI | 10.1016/j.spl.2017.10.005 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Mathematics |
WOS类目 | Statistics & Probability |
WOS记录号 | WOS:000419424600011 |
Scopus入藏号 | 2-s2.0-85034083179 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/10507 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Wu, Bo |
作者单位 | 1.School of Mathematical Sciences,Fudan University,Shanghai,200433,China 2.Department of Mathematics,College of Science,Swansea University,Swansea,Singleton Park,SA2 8PP,United Kingdom |
推荐引用方式 GB/T 7714 | Wu, Bo,Wu, Jianglun. Characterising the path-independent property of the Girsanov density for degenerated stochastic differential equations[J]. Statistics and Probability Letters, 2018, 133: 71-79. |
APA | Wu, Bo, & Wu, Jianglun. (2018). Characterising the path-independent property of the Girsanov density for degenerated stochastic differential equations. Statistics and Probability Letters, 133, 71-79. |
MLA | Wu, Bo,et al."Characterising the path-independent property of the Girsanov density for degenerated stochastic differential equations". Statistics and Probability Letters 133(2018): 71-79. |
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