关于非齐次树指标马氏双链转移矩阵的强偏差定理

A Strong Deviation Theorem for the Transition Matrix of Double Markov Chains Indexed by a Non-Homogeneous Tree

通过引入非齐次树指标马氏双链样本散度的概念和构造非负鞅,给出了关于非齐次树指标马氏双链转移矩阵的强偏差定理.

In this paper,by introducing the concept of sample divergence of double Markov chains indexed by a non-homogeneous tree and constructing non-negative martingale,a strong deviation theorem for the transition matrix of double Markov chains indexed by a non-homogeneous tree is given.