马氏性(Markov Property)用来描述一种特殊的、定义在某状态空间S上的随机变量列 {X(n): n>=0} 的性质，满足 P( X(n) = i(n) | X(n-1) = i(n-1), ..
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强马氏性 strong markov property
宽过去马氏性 past-relaxed markov property
回火马氏体脆性 tempered-martensite embrittlement ; Tempering martcnsitic embrittlement
马拉色氏菌性皮炎 Malassezia dermatitis
热弹性马氏体 thermal-elastic martensite
热弹性马氏体稳定化 thermoelastic martensite stablization ; stabilized thermo elastic marten site
热弹性马氏体相变 Thermoelastic Martensitic Transformation
马氏典型性模型 Mahalanobis typicality
马氏体磁性强度 Magnetic strength of martensite
Using backward argument and the Markov property of the intensity process, we obtain the integral equations satisfied by survival probability. Furthermore, the survival probability with the stationary initial distribution is given.
利用“向后法”和索赔强度过程的马氏性,我们得到了生存概率所满足的积分方程,进一步在两个马氏过程均具有平稳初始分布的情况下,求得了生存概率所满足的积分方程。
参考来源 - 几类马尔可夫调制的双险种风险模型研究·2,447,543篇论文数据，部分数据来源于NoteExpress
其中包括布朗运动的马氏性、转移函数与半群。
Then, it introduces the basic definitions of Brownian motion, some Equivalent definitions and properties.
引入了两指标过程的强马氏性和宽过去循序可测的新概念。
The new concepts of the strong Markov property and rlaxed past progressive measurability on two-parameter processes are introduced in this paper.
讨论了在这种定义下的两类马氏过程经停点变换后保持马氏性及强马氏性的条件。
The conditions are given which the processes obtained from stopping points transformation remain the Markov property which are defined in this paper.
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