Chinese translation for "条件分布"

conditional distribution

Example Sentences:

	1.	The condition distribution of elliptically contoured matrix distributions 椭球等高矩阵分布的条件分布
	2.	A belief network is a probability model defined on an acyclic directed graph ; distributed means nodes can be on different hosts , and heterogeneous means allowing different conditional distributions 一个信念网络是定义在一个非循环有向图上的概率模型；分布性指节点可以在不同的主机上，异质性指可以允许不同的条件分布。
	3.	A comparison is made between the two results led by two mathematical theories which are the conditional distribution theory and the principal component analysis based on actual data 摘要根据实测样本数据，对选择基本部位采用的条件分布理论和主成分分析两种数学理论进行对比研究，结果表明：两种方法选择的基本部位有差异，但在最终应用上差异不是很大。
	4.	Define a random route , which pass through all the grid node , on the condition of given n conditional datum , get a value on the first grid node from the conditional distribution of stochastic variable , add the new value into the conditional datum as a new conditional data . on the condition of current n + 1 conditional datum , get a new value from conditional distribution of stochastic variable on the next node again . then continue until all the nodes gets own value 定义一个经过所有网格节点的随机路径，在给定n个条件数据的情况下，在第一个网格节点处从随机变量的条件分布中抽取一个值，将这个新值加入到条件数据集中，在给定的n + 1个条件数据的情况下，在节点处从随机变量的条件分布中抽取一个值，重新进行，直到所有节点被模拟完为止。
	5.	Here we developed the general arma ( p , q ) - garch ( r , s ) - m ( k ) models , which maybe become increasingly important for estimating volatility returns and exogenous shocks for finance data . after we present the posterior distribution of the model and the full conditional distributions of all the parameters of the model , we develop a hybrid metropolis - hastings algorithm for estimating the parameters of arma - garch - m models based on the works of bayesian chib and greenberg ( 1994 ) and nakatsuma ( 2000 ) . here we simplified the estimations in ma and garch block 作为该模型的推广，我们在本文中提出了一个一般的arma ( p , q ) - garch ( r , s ) - m ( k )模型，并在详细给出模型的后验分布以及模型的所有参数的满条件分布的基础上，结合chibandgreenberg ( 1994 )与nakatsuma ( 2000 )等人的工作，对此新模型设计了一个可行的混合metropolis - hastings算法，简化了ma块与garch块的估计。
	6.	Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory . when comes to bayesian classification , it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability . then , it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one 蒙特卡罗是一种采用统计抽样理论近似求解数学或物理问题的方法，它在用于解决贝叶斯分类时，首先根据已知的先验概率获得各个类标号未知类的条件概率分布，然后利用某种抽样器，分别得到满足这些条件分布的随机数据，最后统计这些随机数据，就可以得到各个类标号未知类的后验概率分布。
	7.	In the second chapter , we explicate the theoretical knowledge , bayes statistic approach , which be applied in the paper , we show the definition of the prior distribution and how to select the prior information , we show the relation of prior distribution , conditional distribution and posterior distribution , we also show statistical inference approach and the key of how to use bayes statistic approach 第二部分内容是本文应用理论知识的简要阐述，介绍了贝叶斯统计方法的理论，分别说明了先验信息的定义及如何获取，后验分布、条件分布和先验分布三者关系，统计推断方法及贝叶斯统计方法应用的关键。第三部分内容是对坦克射击学中外弹道学的修正理论作了简要的介绍。

Similar Words：

"条件方程" Chinese translation, "条件方程式" Chinese translation, "条件方程式常数项" Chinese translation, "条件防御运动反应" Chinese translation, "条件费用" Chinese translation, "条件分布函数" Chinese translation, "条件分泌" Chinese translation, "条件分支" Chinese translation, "条件分支结构" Chinese translation, "条件风险" Chinese translation