the National Natural Science Foundation of China (No.12271308);the Research Fund for the Taishan Scholar Project of Shandong Province of China;Shandong Provincial Natural Science Foundation of China (ZR2019MA003)。
This paper investigates the stochastic dynamics of trophic cascade chemostat model perturbed by regime switching, Gaussian white noise and impulsive toxicant input. For the system with only white noise interference, s...
Supported by the National Natural Science Foundation of China(No.11431014,no.11688101);AMSS research grant(No.Y129161ZZ1);Key Laboratory of Random Complex Structures and Data,Academy of Mathematics and Systems Science,Chinese Academy of Sciences(No.2008DP173182)
Inspired by the multiple recurrence and multiple ergodic theorems for measure preserving systems,we discuss an analogous question for measure preserving semigroups. In this note, we deal with the symmetric semigroups ...
Supported by the National Natural Science Foundation of China(No.11671132,11601147);Hunan Provincial Natural Science Foundation of China(No.16J3010);Philosophy and Social Science Foundation of Hunan Province(No.16YBA053);Key Scientific Research Project of Hunan Provincial Education Department(No.15A032)
A batch Markov arrival process(BMAP) X^*=(N, J) is a 2-dimensional Markov process with two components, one is the counting process N and the other one is the phase process J. It is proved that the phase process i...
supported in part by Early Career Research Grant and Faculty Research Grant by The University of Melbourne;supported in part by Research Grants Council of the Hong Kong Special Administrative Region(project No.HKU 17330816);Society of Actuaries’Centers of Actuarial Excellence Research Grant;supported in part by U.S.Army Research Office under grant W911NF-15-1-0218
This work focuses on numerical methods for finding optimal dividend payment and capital injection policies to maximize the present value of the difference between the cumulative dividend payment and the possible capit...
Supported by Jiangsu Government Scholarship for Overseas Studies;the NNSF of China(Grant Nos.11401419,11301369,11371274);the CPSF(2014M561453);the NSF of Jiangsu Province(Grant Nos.BK20140279,BK20130260)
Regime switching,which is described by a Markov chain,is introduced in a Markov copula model.We prove that the marginals(X,H^i),i = 1,2,3 of the Markov copula model(X,H) are still Markov processes and have marting...
Supported by National 973 project(No.2013CB329404);Key Project of NSF of China(No.11131006);National Natural Science Foundation of China(No.61075054,61370000)
One of the main goals of machine learning is to study the generalization performance of learning algorithms. The previous main results describing the generalization ability of learning algorithms are usually based on ...
Supported by the National Natural Science Foundation of China(No.10871020)
This paper concerns a discrete-time Geo/Geo/1 retrial queue with both positive and negative customers where the server is subject to breakdowns and repairs due to negative arrivals. The arrival of a negative customer ...
supported in part by the National Science Foundation under DMS-0603287;inpart by the National Security Agency under grant MSPF-068-029;in part by the National Natural ScienceFoundation of China(No.70871055);supported in part by Wayne State University under Graduate ResearchAssistantship
This work develops asymptotic expansions for solutions of systems of backward equations of time- inhomogeneous Maxkov chains in continuous time. Owing to the rapid progress in technology and the increasing complexity ...
Supported by the National Natural Science Foundation of China(No.10726063)
We consider an infinite capacity second-order fluid queue with subordinator input and Markovmodulated linear release rate. The fluid queue level is described by a generalized Langevin stochastic differential equation ...
the National Science Foundation under DMS-0603287;the National Security Agency,MSPF-068-029; the National Natural Science Foundation of China under No.60574069
This work is concerned with the asymptotic behavior of systems of parabolic equations arising from null-recurrent switching diffusions, which are diffusion processes modulated by continuous-time Markov chains. A suffi...