marginal probability

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。

joint probability and marginal probability

联合概率与边际概率

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。

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。

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。