非齐次树上连续马氏信源的若干强偏差定理
비제차수상련속마씨신원적약간강편차정리
A Class of Strong Deviation Theorems of Continuous Markov Information Source on a Non-homogenous Tree
  • 万方数据
    大学数学 대학수학
    College Mathematics
    2015年 5期 1-5 ,共5页

    陈秀引%王东%金少华%刘伟娜

    진수인%왕동%금소화%류위나

    非齐次树%鞅%马氏信源%强偏差定理 非齊次樹%鞅%馬氏信源%彊偏差定理
    비제차수%앙%마씨신원%강편차정리
    non-homogeneous tree%martingale%Markov information source%strong deviation theorem
    通过构造适当的非负鞅 ,将Doob鞅收敛定理应用于几乎处处收敛的研究 ,研究给出了一类非齐次树上 r重连续马氏信源熵密度的若干强偏差定理 .
    통과구조괄당적비부앙 ,장Doob앙수렴정리응용우궤호처처수렴적연구 ,연구급출료일류비제차수상 r중련속마씨신원적밀도적약간강편차정리 .
    Through constructing a non-negative martingale and applies Doob's martingale convergence theorem to the research of a .e .convergence ,a class of strong deviation theorems of the entropy density of r-ordered continuous Markov information source on a non-homogenous tree are given .
    원문보기 원문다운로드 사이트로이동
저자의 최근 논문