mcmc
英
美
网络 马尔可夫链蒙特卡罗; 马尔可夫链蒙特卡洛; 马尔科夫链蒙特卡洛; 马尔可夫链蒙特卡罗方法; 马尔可夫蒙特卡罗
双语例句
- An Improved MCMC Detection Algorithm for MIMO Systems
MIMO系统中MCMC检测算法的研究与改进 - Parameter Estimation of Gaussian Mixtures Based on MCMC
基于MCMC方法的混合高斯模型的参数估计 - Preparation of Glyceraldehyde by MnO_2 Electro-catalytic Oxidation in mPAM/ mCMC BPM Equipped Cell
mPAM/mCMC双极膜电解槽中MnO2电催化氧化制备甘油醛 - The Estimation of GARCH Model Parameters Based on MCMC Algorithms
基于MCMC方法的GARCH模型参数估计 - Estimating parameters of air-sea oscillator with MCMC method
海-气振子系统中未知参数的MCMC方法识别 - Comparison between GLUE and MCMC methods for estimating hydrological model uncertainty
水文模型两种不确定性研究方法的比较 - The computational results indicate that parameters estimation by Bayesian method and MCMC sampling has a high precision.
计算结果表明采用贝叶斯推理获得的模型参数估计具有很高的精度。 - Research on MCMC particle filter algorithm based on effective particles
有效粒子数MCMC粒子滤波算法研究 - Joint Active User Identification and Channel Estimation Using MCMC Methods in CDMA System
基于MCMC的CDMA系统联合激活用户识别和信道估计 - Parameter Estimations of Multi-Dimensional Correlation Coefficient Stationary Series Based on MCMC
基于MCMC的多维相关系数平稳序列 - Research on GPS receiver autonomous integrity monitoring algorithm based on MCMC particle filtering
基于MCMC粒子滤波的GPS接收机自主完好性监测算法研究 - Source inversion of toxic gas dispersion in urban areas based on the MCMC method
基于MCMC方法的城区有毒气体扩散源反演 - Information Fusion Using Adaptive MCMC Method in Integrated Navigation System
组合导航系统的自适应MCMC信息融合算法 - First, we use MCMC method, which covers the shortage of conventional parameter estimation methods, to estimate model's parameters and get more appropriate parameter evaluations.
首先用MCMC方法估计得到模型参数值，克服了传统的直接用样本均值和样本方差进行参数估计值的不足，与市场实际更吻合； - MCMC method for arbitrary missing patterns.
MCMC方法任意失踪模式。 - And a computing example of US treasury bonds proved the advantage of MCMC.
通过对美元国债的实证分析和计算，验证了MCMC方法的优越性。 - MCMC algorithms were developed by Chib and Greenberg ( 1994) for the untruncated ARMA model.
Chib和Greenberg（1994）首次对非截尾的ARMA模型的参数估计提出了MCMC算法。 - Finally we applied the MCMC algorithm in the new stochastic volatility models with simulated datas.
最后，利用该模型的模拟数据，展示了MCMC算法在这种模型中的应用。 - Statistical Analysis Frame of Complex Data Mining and MART MCMC Applications in CRM
复杂数据挖掘统计分析框架及MART和MCMC方法在客户关系管理中的应用 - Based on the method of the stochastic simulation, with the use of the reversible jump MCMC algorithms, a new method was discussed on discernment parameters of the ARMA model.
基于随机模拟的方法，利用可逆跳MCMC算法讨论了ARMA模型的识别和参数估计。 - During the process of Bayesian networks modeling, K2 and MCMC algorithms are utilized together.
在贝叶斯网络构造过程中，结合采用K2和MC-MC算法构建网络。 - The traditional Markov Chain Monte Carlo method for structural learning in graphical models MCMC algorithm is improved.
改进了关于图模结构学习中常见的MCMC算法。将这种方法构造的贝叶斯网络作为马尔可夫链初始状态的网络结构，利用改进后的MCMC算法，构造一个关于贝叶斯网络结构的马尔可夫链。 - Objective Discussing an application of variance ratio method on the diagnosis of MCMC Convergence.
目的探讨方差比法在MCMC收敛性诊断中的应用以及收敛性诊断的重要性，以期为贝叶斯统计方法的研究和MCMC的应用提供有用的参考及帮助。 - Adjust MCMC method to establish adjustment model that is suitable for numerical data, and optimize it. 3.
对MCMC等方法进行调整，建立适合非数值化数据的调整模型，并进行优化。 - Using MCMC methods, the model parameter estimation and thus avoid the GARCH model restrictions on the parameter constraints, and solve the problem that can not be optimized.
运用MCMC方法，对模型进行了参数估计进而避免了GARCH模型中对参数约束的限制，同时也解决了无法进行最优化的难题。 - In the simulation study, we compared three kinds of methods and the unbiased transformation method and the MCMC method had their advantages in different situations.
在模拟研究中，我们对三种方法的结果进行了比较，结果说明无偏转换方法和MCMC方法在不同的情况下各有其优势。 - It makes a diagnosis model based on two foundational models of Bayesian network, and uses MCMC reasoning method.
该方法以贝叶斯网络两个基础模型为基础构成实际电力系统的贝叶斯网络诊断模型，将马尔可夫蒙特卡罗推理方法应用于该诊断模型中。 - EM and MCMC algorithms are respectively used to estimate the parameters of the GMM.
同样，EM算法和MCMC算法分别被用于估计GMM的参数。 - In the aspect of theory research, the standard sampling method for Markov chain Monte Carlo method ( MCMC) in Bayesian inference are investigated in this work.
理论研究方面，本文对贝叶斯推理中标准的抽样技术-马尔科夫链蒙特卡罗抽样方法（MarkovchainMonteCarlo，MCMC）进行了研究。 - And programming in R to estimate the continuous-time stochastic volatility model with jumps using MCMC.
使用R语言编写程序，实现了MCMC算法对具有跳跃的连续时间随机波动（SV）模型的参数估计。