marginal probability的例句大全

in dpda, we are unnecessary to calculate the all feasible joint probabilities of feasible joint events to get the marginal probability and avoid the np problem such as in joint probability data association ( jpda).

它无需计算所有可行联合事件的联合概率，从而克服了联合概率数据关联（JPDA）的组合问题。

then, non-sequential monte carlo simulation is employed to obtain the marginal probability density distribution of atc of each sub-region. later, coordination for decision-making model is developed with an objective of maximizing the risk-benefit of atc.

然后非序贯蒙特卡罗仿真求取各个子区域的可用传输容量的边缘概率密度分布，并以此为基础构造以风险收益最大化为目标的多区域可用输电容量的协调决策模型。

joint probability and marginal probability

联合概率与边际概率

tes ( transform-expand-sample) is a nonparametric technique that enable a user to model stationary stochastic processes with an exact match of the marginal probability distribution and a good approximation of the autocorrelation function.

TES（Transform-Expand-Sample）是一种建模静态随机过程的非参数化技术，能准确匹配边缘概率分布并很好地近似自相关函数。

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。

for a set of correlated stochastic random variables with different distributions, the sampling can only be taken from an independent variable space, which is based upon marginal and conditional probability densities of the random variables.

对于互相关的不同分布随机变量，则只能根据其联合概率分布求出其边缘分布和条件分布，化为独立的变量分布，然后在独立空间中抽样，但大多数情况下无法知其联合概率分布。

An Approach to Estimation of Probability Distribution Function of Marginal Generating Cost of Power System

电力系统边际发电成本的概率分布函数估计方法

According to a priori exact probability or experts estimate that the probability, the classical Expectation-Maximization algorithm calculates the joint fault probability distribution and probability distribution of marginal respectively.

根据观测的信息或专家经验估计阀件的先验概率，最大期望估计算法学习各个阀件故障的联合概率分布和边缘概率分布。

Positivism Analysis on the Probability Distribution of System Marginal Price

系统边际价格概率分布的实证分析

we propose a new method of constructing simultaneous confidence intervals with marginal equal tail probability for the mean vector.

本文提出了边际等尾联合置信区间的概念，并提出了一种构造均值向量的边际等尾联合置信区间的方法。

the marginal posterior probability density function for hm is obtained when the conjugated type prior distribution without prior knowledge is assumed.

在取没有验前知识的共轭型验前分布时，可得h m的边缘验后概率密度函数。