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Markov Process is an extensively applied stochastic process model. 马尔可夫过程是一个有着广泛应用的随机过程模型.
The set of past events affecting a given event in a stochastic process. 过去发生的事在一随机过程中影响一给定事件的过去发生的一组事件
As we all known, Brownian motion is an important type of stochastic process. 我们大家都知道，布朗运动是一类很重要的随机过程。
Karlin, S. and Taylor, H.M., A First Course in Stochastic Processes, Second Edition，Academic Press，1975. 《现代概率论基础》，中国科学院研究生教学丛书，科学出版社，2001。
The stochastic process method is applied to forecast Shanghai stock composite index trend. 摘要应用随机过程方法预测了上证综合指数的走势。
The paper gives conditions of measurability and progressive measurability on two-dimensinal stochastic Processes. 摘要给出了两参数随机过程的可测性及循序可测性的条件。
Probabilistic dynamics, which is a general modeling theory for dynamic stochastic processes, is introduced. 介绍了描述动态随机过程的一般性理论-概率动力学。
Furthermore, the convergence of the DHIA is proved theoretically through the Markov stochastic process theory. 最后根据随机过程的理论知识，证明了该算法的收敛性。
Where the uncertain matrix is norm bounded and time-varying, while the external disturbance is a stochastic process. 假设不确定参数矩阵是时变，范数有界的，外部干扰是一个随机过程。
Conclusion The fuzzy stochastic process model can show the effect of students management. 结论模糊随机过程模型能够反映对学生的管理效果。
A. Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes, 4th edition, McGraw Hill, Singapore, 2002. 徐义人，工程机率统计学，国立编译馆，台湾，民88年(1999)。
It is not necessary to assume the concrete stochastic process model for a repairable system when we estim... 认为运用灰色预测模型来估计可修复系统的故障时刻，不必假定系统的随机过程模型。且估计精度较高，是1种有效方法。
The material presented in this chapter should give adequate preparation for those interested in specializing inspecific areas of advanced probability and stochastic processes. 这一章所讲的内容，对有志于专攻高深概率和随机过程方面的人，将给出充分的准备。
The material presented in this chapter should give adequate preparation for those interested in specializing in specific areas of advanced probability and stochastic processes. 这一章所讲的内容,对有志于专攻高深概率和随机过程方面的人,将给出充分的准备。
Research and teaching: Stochastic Process, Stochastic analysis, Risk theory, Financial Economics and Mathematical Finance. 主要研究和教学领域：随机过程，随机分析，风险理论，金融经济学，金融数学。
A temperature stochastic process has been suggested with utilizing Vasicek mean reversion model, considering about seasonal effect and time trend. 本文主要参照均值回复模型，考虑气温的季节变化和长期趋势，建立反映气温变化的随机模型，应用1980至1999年北京日平均气温对模型参数进行估计。
This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR(1) model in time series. 本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。
This thesis is devoted to the study of large deviations for kernel density estimator for certain stochastic processes, especially in the dependent case. 本篇博士论文主要研究随机过程的核密度估计的大偏差,尤其是对相依随机过程,主要结果是首次把独立同分布情形下的大偏差结果推广到了相依情形。
Based on Markov stochastic process theory, a transfer matrix model of air-to-ground strike is derived with the formula of full probability. 摘要以马尔可夫理论为基础，运用全概率公式建立了飞机对地攻击的动态模型。
To design a reasonable repair schedule of the armoured vehicles,fault stochastic process happening in an overhaul repair interval was discussed. 为合理建立装甲车辆的维修方案,分析了装甲车辆在一个大修区间内的故障随机过程。