The posterior probability is computed from the prior and the likelihood function via Bayes' theorem.
先验概率与后验概率有不可分割的联系，后验概率的计算要以先验概率为基础。
But it was difficult to calculate, because censored data in the form of samples of the likelihood function is very complex.
但计算很是困难，原因就是删失数据后样本的似然函数的形式很复杂。
With maximizing the marginal likelihood function of hyper-parameters, the optimal weights are acquired, i. e. the reconstructed image.
最大化超参数的边缘对数似然函数求得权值参数的最优估计即待重建图像。
In traditional multiple hypothesis tracking (MHT) algorithm, only target location information has been used for truth likelihood function of tracks.
在传统的多假设跟踪(MHT)算法中，航迹置信度函数仅利用了目标的位置信息。
Using hierarchical likelihood approach, the multidimensional integral is avoided, and the hierarchical likelihood function and the process of estimating model ar.
在模型估计上，采用等级似然估计方法，从而避免了求后验分布的积分运算，简化了估计过程。
The ARMA model was used to describe the prior distribution of observed discharge and the ar model was adopted to simulate the likelihood function of forecasting error.
该模型采用ARMA模型描述实测流量的先验分布，采用AR模型模拟预报残差的似然函数，并假定先验分布和似然函数均服从正态分布。
In Bayesian reference, marginal likelihood function involve to compute high dimensional complex integrand. So exactly to compute marginal likelihood is often difficult.
贝叶斯推断中边际似然函数涉及到维数较高的复杂积分的计算，因而精确地计算边际似然函数往往有困难。
Instead of this single value, a random variable has a function that describes the likelihood of values for the estimate and is called the variable's probability distribution.
取代单个值，随机变量拥有描述估计值可能性的函数，该函数称为变量的概率分布。
Natural: These preservatives will be milder. They will be ones that have been shown to function properly, yet with a lower likelihood of causing cosmetic-related allergies and sensitivities.
天然香波：使用刺激性较小的防腐剂，性能是一样的，但是能减少刺激性和过敏反应。
This model function is applied to NSCAT data to retrieve wind vectors, with the Maximum-Likelihood Estimator to get a set of ambiguous wind vectors and a vector filter technique to remove ambiguities.
利用该模式函数对另一组NSCAT后向散射系数数据进行海面风场反演，采用最大似然估计确定多个风矢量解，并采用矢量中值滤波消除多解。
In this paper, a kind of SAR image segmentation method based on the criterion of likelihood difference function is proposed.
这一部分我们给出了本文中竞争风险混合模型的描述及分组数据下的似然函数。
Base on the maximum likelihood algorithm, the algorithm divides an array into three subaperture and predigests the estimate function and reduces the compute quantity.
此算法基于极大似然算法将等距线阵均分为三个子孔径，从而简化了估计函数，也使计算量大大减少。
Some of optimal bandwidths used depends on detection function, some do not rely on detection function, still use classic ground Maximum Likelihood estimate.
使用的最佳带幅宽有的依赖于探知函数，有的不依赖探知函数，还用到经典的最大似然估计法。
A frequency domain adaptive maximum likelihood (ML) time delay estimation algorithm based on squared coherence function is proposed.
提出了一种基于平方相干函数的频域自适应最大似然时延估计算法。
The property and the differential characteristic of maximum likelihood direction-of-arrival estimation (MLE)function for every variety of centrosymmetric array are investigated in the paper.
本文着重讨论了在任意几何中心对称阵列条件下的最大似然方向估计函数的性质及其在信源真实方向上的微分特性。
The objective function was established based on the maximum likelihood rule, which was solved by nonlinear conjugate gradient method.
该方法利用最大似然准则建立目标函数，同时利用非线性共轭梯度法来优化求解目标函数。
Likelihood ratio test, rank correlation analysis and principal component analysis were used to investigate the optimal model of function and the index system.
似然比检验、秩相关分析、主成分分析等方法相继用于研究函数的最适模型和指标体系。
By simplifying the objective function of maximum likelihood estimation, the algorithm can realize sequence synchronization and sequence estimation via adaptive iteration and wide window.
通过简化最大似然估计目标函数，提出了用自适应迭代法并结合宽窗口法来实现序列同步和序列估计。
Then we construct merging cost according to the likelihood difference function and region shape constrains, and make regions to be merged with order.
然后根据似然差函数和区域的形状的约束建立融合代价，使得所有可以融合的区域按照一定的顺序融合。
Because the likelihood ratio test has very good properties, especially for large sample size problem, the P-value function with this method is approached the true function.
因为似然比检验有着非常好的性质，特别是对大样本量问题，该方法求解出来的p值函数与真实p值函数非常逼近。
Because the likelihood ratio test has very good properties, especially for large sample size problem, the P-value function with this method is approached the true function.
因为似然比检验有着非常好的性质，特别是对大样本量问题，该方法求解出来的p值函数与真实p值函数非常逼近。
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