English translation for "markov chain monte carlo"

马尔可夫链-蒙特卡罗理论

Related Translations:

markov:  马尔科夫马尔可夫

markov ilya:  马尔科夫

markov process:  马尔柯夫过程马尔科夫过程马尔可夫过程, 马尔可夫处理

markov analysis:  马尔可夫分析过程马克夫分析法

markov number:  马尔可夫方程

markov dmitriy:  马尔科夫

markov性质:  markov property

alexey markov:  阿列克谢马尔科夫

georgi markov:  乔治・马可夫治可夫

andrey markov:  马尔可夫

Example Sentences:

	1.	For the second problem , we transform it to the computation of permanent , and monte carlo method and markov chain monte carlo method are used to sample 在计算m -齐次b zout数上，我们将它的计算转换为矩阵积和式的计算，通过montecarlo方法和markovchainmontecarlo方法来进行抽样。
	2.	Markov chain monte carlo simulation ( mcmc ) was taken to sample the posterior distribution to get the marginal posterior probability function of the parameters , and the statistical quantities such as the mathematic expectation were calculated 通过马尔科夫链蒙特卡罗模拟对后验分布进行了采样，获得了参数的后验边缘概率密度，并在此基础上获得了参数的数学期望等统计量。
	3.	16 zhu s c , liu x w , wu y n . exploring texture ensembles by efficient markov chain monte carlo - toward a " trichromacy " theory of texture . ieee trans . pattern analysis and machine intelligence , 2000 , 22 : 554 - 569 对后一个问题，我们设计了一个基于k均值聚类的算法，先固定初始类别数，然后对聚类结果进行合并分析，从而对简单文档图像中采用较少的视觉类别，有效地实现了自适应处理。
	4.	At last , it can obtain the posterior probability distibution of each unlabelled classes by analysing these stochastic data . it is easy to get a stochastic sample that satisfies some special distribution through running a special markov chain , so mcmc ( markov chain monte carlo ) is the most common monte carlo bayesian method 运行一个特定的马尔可夫链可以容易地获得满足某个特定分布的随机抽样，所以马尔可夫链蒙特卡罗( mcmc )是最常用的蒙特卡罗贝叶斯分类方法。
	5.	Markov chain monte carlo ( mcmc ) algorithms have achieved a considerable following in the statistics and econometrics literature in the last ten years . there has been considerable research on so - called generalized autoregressive conditional heteroskedastic ( garch ) models for dealing with these methods since the remarkable works of chib and greenberg ( 1994 ) Mcmc算法在近10年来越来越受到统计界与计量经济界的广泛重视，自从chib和greenberg ( 1994 )开创性地提出了对arma模型的mcmc算法后，国内外有许多学者开始对自回归条件异方差模型的mcmc算法进行了大量的研究。
	6.	To obtain the prior distributions of parameters by bootstrap , i proposed the integrated sampling method to generate bootstrap samples . the method simulates a markov chain to describe the state changing procedure based on the failure time sampled by monte carlo method . and the posterior distributions of parameters are obtained by markov chain monte carlo ( mcmc ) method 为了应用自助方法确定参数验前分布，提出了运行故障时间和状态的综合抽样方法生成自助样本，该方法基于试验数据用蒙特卡洛方法对故障时间进行抽样，在故障时间抽样值的基础上，模拟马尔可夫链表示系统状态变化过程。

Similar Words：

"markov analysis" English translation, "markov autoregressive scheme" English translation, "markov branching process" English translation, "markov chain" English translation, "markov chain model" English translation, "markov chart" English translation, "markov constraint" English translation, "markov dmitriy" English translation, "markov estimation" English translation, "markov ilya" English translation