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orthogonal stochastic process 正交随机过程
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。
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。
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。
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。
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。
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。
A virtual stochastic process is constructed so that the basic random variable becomes the value of the stochastic process at certain instants of time. 在此方法中，构造一个与基本随机变量相关的虚拟随机过程，使得基本随机变量成为该随机过程的截口随机变量。
MCMC is a kind of dynamic Monte Carlo simulation method that introduces Markov chain in stochastic process to the Monte Carlo simulation. MCMC方法是一种特殊的蒙特卡洛方法，它将随机过程中的马尔可夫过程引入到蒙特卡洛模拟中，实现动态蒙特卡洛模拟。
Stochastic Processes and Orthogonal Polynomials 随机过程与正交多项式
By means of stochastic process theory, the bounded convergence of least mean square algorithm (LMS) is studied without data stationary assumption and ergodicity condition. 在无过程数据平稳性假设和各态遍历等条件下 ;运用随机过程理论研究了最小均方算法 (LMS)的有界收敛性 ;给出了估计误差的上界 ;论述了LMS算法收敛因子或步长的选择方法 ;以使参数估计误差上界最小 .
The first one is chosen using time series method, and the second is obtained from measurements using the autocovariance function of the stationary stochastic process. 二是应用平稳随机过程的自协方差函数从双差观测值中提取的正则化矩阵。
A new method was proposed for the analysis of crosstalk of non-uniform RLC interconnects with stochastic process variations,and a stochastic perturbation model was proposed. 提出一种基于工艺随机扰动的非均匀RLC互连线串扰分析方法;同时建立了互连线随机扰动模型。