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- Markov Process is an extensively applied stochastic process model. 馬爾可夫過程是一個有著廣泛應用的隨機過程模型.
- controllable stochastic process 可控隨機過程
- The set of past events affecting a given event in a stochastic process. 過去發生的事在一隨機過程中影響一給定事件的過去發生的一組事件
- As we all known, Brownian motion is an important type of stochastic process. 我們大家都知道，布朗運動是一類很重要的隨機過程。
- The stochastic process method is applied to forecast Shanghai stock composite index trend. 摘要應用隨機過程方法預測了上證綜合指數的走勢。
- Furthermore, the convergence of the DHIA is proved theoretically through the Markov stochastic process theory. 最後根據隨機過程的理論知識，證明了該演算法的收斂性。
- Where the uncertain matrix is norm bounded and time-varying, while the external disturbance is a stochastic process. 假設不確定參數矩陣是時變，范數有界的，外部干擾是一個隨機過程。
- Conclusion The fuzzy stochastic process model can show the effect of students management. 結論模糊隨機過程模型能夠反映對學生的管理效果。
- It is not necessary to assume the concrete stochastic process model for a repairable system when we estim... 認為運用灰色預測模型來估計可修復系統的故障時刻，不必假定系統的隨機過程模型。且估計精度較高，是1種有效方法。
- Research and teaching: Stochastic Process, Stochastic analysis, Risk theory, Financial Economics and Mathematical Finance. 主要研究和教學領域：隨機過程，隨機分析，風險理論，金融經濟學，金融數學。
- A temperature stochastic process has been suggested with utilizing Vasicek mean reversion model, considering about seasonal effect and time trend. 本文主要參照均值回復模型，考慮氣溫的季節變化和長期趨勢，建立反映氣溫變化的隨機模型，應用1980至1999年北京日平均氣溫對模型參數進行估計。
- This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR(1) model in time series. 本文對BMS進行了介紹，並分別利用隨機過程中馬爾可夫鏈的知識和時間序列中的INAR(1)模型對BMS進行了研究。
- Based on Markov stochastic process theory, a transfer matrix model of air-to-ground strike is derived with the formula of full probability. 摘要以馬爾可夫理論為基礎，運用全概率公式建立了飛機對地攻擊的動態模型。
- To design a reasonable repair schedule of the armoured vehicles,fault stochastic process happening in an overhaul repair interval was discussed. 為合理建立裝甲車輛的維修方案,分析了裝甲車輛在一個大修區間內的故障隨機過程。
- 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，構造一個與基本隨機變數相關的虛擬隨機過程，使得基本隨機變數成為該隨機過程的截口隨機變數。
- MCMC is a kind of dynamic Monte Carlo simulation method that introduces Markov chain in stochastic process to the Monte Carlo simulation. MCMC方法是一種特殊的蒙特卡洛方法，它將隨機過程中的馬爾可夫過程引入到蒙特卡洛模擬中，實現動態蒙特卡洛模擬。
- By means of stochastic process theory, the bounded convergence of least mean square algorithm (LMS) is studied without data stationary assumption and ergodicity condition. 在無過程數據平穩性假設和各態遍歷等條件下 ;運用隨機過程理論研究了最小均方演算法 (LMS)的有界收斂性 ;給出了估計誤差的上界 ;論述了LMS演算法收斂因子或步長的選擇方法 ;以使參數估計誤差上界最小 .
- 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. 二是應用平穩隨機過程的自協方差函數從雙差觀測值中提取的正則化矩陣。
- 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. 提出一種基於工藝隨機擾動的非均勻RLC互連線串擾分析方法;同時建立了互連線隨機擾動模型。
- The ratio of expectation crossings of a stochastic process was calculated and used to deduce a Poisson process model of the first passage of temperature threshold. 計算了隨機過程的期望穿閾率，並根據其結果推導出了首次超溫的泊松過程模型。
