Supported in part by 985 Project;973 Project(Grant No.2011CB808000);NSFC(Grant No.11131003);SRFDP(Grant No.20100003110005);the Fundamental Research Funds for the Central Universities
We generalize the decomposition method of the finite Markov chains for Poincare inequality in Jerrum et al.(Ann.Appl.Probab.,14,1741-1765(2004)) to the reversible continuous-time Markov chains.And inductively,we g...
Supported by National Natural Science Foundation of China(Grant Nos.11171101 and 11271121);Key Laboratory of High Performance Computing and Stochastic Information Processing(HPCSIP)(Education Ministry of China,Hu’nan Normal University),Science and Technology Program of Hu’nan Province(Grant No.2014FJ3058);Scientific Research Fund of Hu’nan Provincial Education Department(Grant No.12C0562);Leading Academic Discipline Project of Hu’nan University of Finance and Economics
A rigorous definition of semi-Markov dependent risk model is given. This model is a generalization of the Markov dependent risk model. A criterion and necessary conditions of semi- Markov dependent risk model are obta...
This paper discusses the asymptotic behaviors of the longest run on a countable state Markov chain. Let {Xa}a∈Z+ be a stationary strongly ergodic reversible Markov chain on countable- state space S = {1, 2,...}. Let...
Supported by National Natural Science Foundation of China(Grant Nos.11001070,11101113);Zhejiang Provincial Natural Science Foundation(Grant No.R6090034)
Let {Xn} be a Markov chain with transition probability pij =: aj-(i-1)+,i,j ≥ 0, where aj=0 providedj 〈 0, a0 〉 0, a0+a1〈 1 and ∑∞n=0 an= 1. Let μ∑∞n=1nan. It is known that {Xn} is positive recurrent wh...
Supported by National Natural Science Foundation of China (Grant No. 10901164);Graduate Research Innovation Projects in Hunan Province (Grant No. CX2009B020);Graduate Degree Thesis Innovation Foundation of Central South University (Grant No. 2009ybfz11);supported by Natural Science Foundation of China (Grant Nos. 11071258, 90820302);Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20090162110058)
In this paper, we study a class of stochastic processes, called evolving network Markov chains, in evolving networks. Our approach is to transform the degree distribution problem of an evolving network to a correspond...
partially supported by NSFC(No.10171009);Research Fund for PhD Programs of MOE of China(No.20010533001);Research Fund for Educational Innovation for Doctorates of CSU(No.030602)
Quasi-birth and death processes with block tridiagonal matrices find many applications in various areas. Neuts gave the necessary and sufficient conditions for the ordinary ergodicity and found an expression of the st...
There are two parts in this paper. In the first part we construct the Markov chain in random environment(MCRE), the skew product Markov chain and p-θ^→ chain from a random transition matrix and a two-dimensional p...
This paper develops asymptotic properties of singularly perturbed Markov chains with inclusion of absorbing states.It focuses on both unscaled and scaled occupation measures.Under mild conditions,a mean-square estimat...