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科研机构

山东大学 [14]

数学与系统科学研究院 [4]

北京大学 [2]

兰州理工大学 [2]

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重庆大学 [1]

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	Marginal and joint failure importance for K-terminal network edges under counting process 期刊论文 Reliability Engineering and System Safety, 2022, 卷号: 223 作者: Ma, Chengye; Du, Yongjun; Zhang, Yuchun; Cai, Zhiqiang 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/04/21 Failure (mechanical) Numerical methods Poisson distribution Random processes Reliability analysis Risk assessment Roads and streets Stochastic systems Counting process Edge failures Importance measure Joint failure Joint failure importance K terminals K-terminal network Marginal failure importance Network failure Non-homogeneous Poisson process
	A Novel Risk-Based Prioritization Approach for Wireless Sensor Network Deployment in Pipeline Networks 期刊论文 ENERGIES, 2020, 卷号: 13, 期号: 6, 页码: 15 作者: Yi, Xiaojian; Hou, Peng; Dong, Haiping 收藏 \| 浏览/下载：23/0 \| 提交时间：2020/05/24 wireless sensor network deployment pipeline network risk-based prioritization inhomogeneous Poisson point process condition monitoring coverage problem
	ERGODIC APPROXIMATION TO CHEMICAL REACTION SYSTEM WITH DELAY 期刊论文 SIAM JOURNAL ON NUMERICAL ANALYSIS, 2019, 卷号: 57, 期号: 1, 页码: 70-95 作者: Chen, Chuchu; Liu, Di 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/01/10 stochastic delay differential equation invariant measure ergodicity weak convergence order Malliavin calculus Poisson random measure
	Network Birnbaum Importance Measure under Saturated Poisson Distribution 期刊论文 Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2017, 卷号: 35, 期号: 5, 页码: 870-875 作者: Du, Yongjun; Hou, Peiyong; Guo, Yaqi 收藏 \| 浏览/下载：5/0 \| 提交时间：2020/11/14 Failure analysis Networks (circuits) Reliability analysis Birnbaum importance measures Component failures Importance measure Network failure Network reliability Network reliability analysis
	ERROR ANALYSIS FOR D-LEAPING SCHEME OF CHEMICAL REACTION SYSTEM WITH DELAY 期刊论文 MULTISCALE MODELING & SIMULATION, 2017, 卷号: 15, 期号: 4, 页码: 1797-1829 作者: Chen, Chuchu; Liu, Di 收藏 \| 浏览/下载：19/0 \| 提交时间：2018/07/30 stochastic delay differential equation Poisson random measure D-leaping mean-square strong convergence order weak convergence order Malliavin calculus
	Controlled Mean-Field Backward Stochastic Differential Equations with Jumps Involving the Value Function 期刊论文 Journal of Systems Science & Complexity, 2016, 期号: 05, 页码: 1238-1268 作者: LI Juan; MIN Hui 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/16 Dynamic programming principle(DPP) Hamilton-Jacobi-Bellman(HJB) equation meanfield backward stochastic differential equation(mean-field BSDE) with jump Poisson random measure value function
	Controlled Mean-Field Backward Stochastic Differential Equations with Jumps Involving the Value Function 期刊论文系统科学与复杂性学报（英文版）, 2016, 卷号: 29, 期号: 5, 页码: 1238-1268 作者: Li Juan; Min Hui 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/16 Dynamic programming principle (DPP) Hamilton-Jacobi-Bellman (HJB) equation mean-field backward stochastic differential equation (mean-field BSDE) with jump Poisson random measure value function
	Large deviations for neutral functional SDEs with jumps 期刊论文 STOCHASTICS-AN INTERNATIONAL JOURNAL OF PROBABILITY AND STOCHASTIC PROCESSES, 2015, 卷号: 87, 期号: 1, 页码: 48-70 作者: Bao, Jianhai; Yuan, Chenggui* 收藏 \| 浏览/下载：13/0 \| 提交时间：2019/12/03 Poisson random measure highly nonlinear growth neutral functional stochastic differential equation uniform large deviation principle
	Backward stochastic differential equations with Markov switching driven by Brownian motion and Poisson random measure 期刊论文 Stochastics: An International Journal of Probability and Stochastic Processes, 2015, 卷号: 87, 期号: 1, 页码: 1-29 作者: Shi, Jingtao; Wu, Zhen 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/17 backward stochastic differential equation Poisson random measure Markov switching comparison theorem
	Large deviations of mean-field stochastic differential equations with jumps 期刊论文 STATISTICS & PROBABILITY LETTERS, 2015, 卷号: 96 作者: Cai, Yujie; Huang, Jianhui; Maroulas, Vasileios 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/05 Mean-field stochastic differential equation Poisson random measure Jump-diffusions Weak convergence method Uniform large deviation principle

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