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likelihood function
似然函数:在统计学中
常用释义
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基本释义
  • 似然函数:在统计学中,用于衡量给定参数下观测数据出现的可能性的函数。似然函数通常用于参数估计和假设检验。
例句
  • 1·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。
  • 2·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。
  • 3·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。
  • 4·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。
  • 5·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。
  • 6·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。
  • 7·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。
  • 8·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。
  • 9·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。
  • 10·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。