large deviations;
Cramer methods;
Markov processes;
moderate deviations;
D O I:
10.1016/S0252-9602(18)30062-6
中图分类号:
O1 [数学];
学科分类号:
0701 ;
070101 ;
摘要:
This paper presents a small perturbation Cramer method for obtaining the large deviation principle of a family of measures {mu(c),epsilon > 0} on a topological vector space. As an application, we obtain the moderate deviation estimations for uniformly ergodic Markov processes.
机构:
Imperial Coll London, Dept Math, London SW7 2AZ, England
Alan Turing Inst, London SW7 2AY, EnglandImperial Coll London, Dept Math, London SW7 2AZ, England
Jacquier, Antoine
Shi, Fangwei
论文数: 0引用数: 0
h-index: 0
机构:
Imperial Coll London, Dept Math, London SW7 2AZ, EnglandImperial Coll London, Dept Math, London SW7 2AZ, England
机构:
Imperial Coll London, Dept Math, London SW7 2AZ, England
Alan Turing Inst, London SW7 2AY, EnglandImperial Coll London, Dept Math, London SW7 2AZ, England
Jacquier, Antoine
Shi, Fangwei
论文数: 0引用数: 0
h-index: 0
机构:
Imperial Coll London, Dept Math, London SW7 2AZ, EnglandImperial Coll London, Dept Math, London SW7 2AZ, England