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maximum likelihood estimation是什么意思,maximum likelihood estimation的意思翻译、用法、同义词、例句

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常用词典

  • [数] 最大似然估计;最大相似估计法

  • 例句

  • In seislogging, seismic wavelet is estimated by the maximum likelihood estimation technique of signal detection theory.

    在拟速度测井中,地震子波是根据信号检测理论的最大似然估计方法来估算的。

  • It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.

    通过蒙特卡罗模拟和实例表明多层贝叶斯估计比最大似然估计更加有效。

  • In the paper it is shown that in isotropical noise field acoustic energy flux is maximum likelihood ratio detector, its direction is maximum likelihood estimation of source direction.

    本文证明在各向同性噪声场中声能流是最大似然比检测量,声能流方向是声源方位的最大似然估计;

  • Finally, the relation between likelihood ratio detection and the maximum likelihood estimation is discussed.

    最后指出最大似然估计与似然比检验之间和两者的性能测度之间的联系。

  • After several iterations, the maximum likelihood estimation and compensation of the TPC of the target can be realized more effectively.

    经过几次迭代,可以有效地实现目标TPC的最大似然估计和补偿。

  • To be direct against problems of traditional apparatus reliability failure analysis method, this paper presents a failure analysis method based on maximum likelihood estimation method.

    针对传统电器可靠性失效分析方法中存在的问题,提出了一种电器可靠性失效分析极大似然估计方法。

  • By modifying the derivation procedures both in time domain and frequency domain, and by the proper approximation, the approximate maximum likelihood estimation result in time domain was derived.

    在时域和频域都重新推导了估计结果,经过合理近似,得到时域最大似然估计的近似解;

  • And the accuracy rate of a classification network is explained as the maximum likelihood estimation of the generalization ability.

    证明了一个分类网络的测试集正确率是该网络推广能力的极大似然估计;

  • In this paper, the writer proves the generic stability of maximum likelihood estimation on the probability density functions(in Baire category sense).

    证明了最大似然估计关于概率密度函数的通有稳定性。

  • In this paper, proposed is the informax fast algorithm of ICA using information maximum likelihood estimation with the Newton iterate algorithm.

    本文基于信息极大似然估计,采用牛顿迭代算法,建立了ICA的一种信息极大快速算法。

  • In the practice projects, the precision of maximum likelihood estimation of Weibull shape parameter is quantitatively provided by the conclusion.

    工程上,可以依据文中提供的结论定量分析威布尔分布形状参数极大似然估计量的精度。

  • To the tree species, the maximum likelihood estimation and minimum risk equivariant estimation are used to estimate the unknown parameters.

    对于服从正态分布的树种利用极大似然估计和最优同变估计对未知参数进行估计。

  • The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are stu***d.

    研究了非线性连续—离散系统极大似然估计方法的实现及其在飞行器气动参数辨识中的应用问题。

  • To take the errors of measurement data in the process of balancing into account, the maximum likelihood estimation is adopted.

    为了计及平衡过程中测试数据的误差,对动不平衡量采用极大似然估计。

  • This paper deals with a statistic method for identification of modal parameters of structures by means of the maximum likelihood estimation(MLE).

    本文论述了振动系统模态参数的一种统计识方法——模态参数的极大似然估计法。

  • And then the model parameters are estimated by means of MLE ( maximum likelihood estimation).

    其次运用极大似然估计方法对模型的参数进行标定。

  • The marginal densities of single-factor interest rate models can be obtained by maximum likelihood estimation.

    由极大似然估计可以得到单因子利率模型的边际密度函数。

  • Firstly, boundary surfaces of feature were decomposed into several joint primitives, and each data patch was solely fitted by surface incorporating maximum likelihood estimation.

    首先将特征的边界曲面分解为相互邻接的若干基准面,运用极大似然估计法单独对每个分块数据集进行曲面拟合;

  • The maximum likelihood estimation of such model is discussed, and an approximate solution is obtained with the steepest descent method.

    文中讨论了这类模型参数的极大似然估计,并采用最陡下降法来求其近似解,模拟试验证实此算法是有效。

  • In this paper, the aerodynamic parameter identification of elastic aircraft is stu***d by the maximum likelihood estimation algorithm using, orthogonal test table for computing sensitivities.

    本文基于正交计算灵敏度的极大似然估计算法研究了弹性飞行器的气动参数辨识问题。

  • The prediction of remaining life and the optimal renewal time of wire rope are given according to the principal of maximum likelihood estimation.

    依据极大似然估计原理,给出了钢丝绳寿命预测方法和钢丝绳最佳更换期。

  • A timing synchronization method of low complexity is presented. It makes use of joint maximum likelihood estimation based on the cyclic prefix to finish coarse timing synchronization.

    提出了一种低复杂度的定时同步方法,采用基于循环前缀的最大似然联合估计算法完成符号粗同步;

  • The simulation indicates that the condition moment estimation is more accurate than the convergence maximum likelihood estimation.

    数值模拟表明条件矩估计优于渐进极大似然估计。

  • This paper defines quasi-maximum likelihood estimation and partial quasi-maximum likelihood estimation, and proves the consistency of the two estimations under certain conditions.

    定义了拟极大似然估计和偏拟极大似然估计,并证明了二者在一定的条件下是一致的,最后给出了两个例子说明这两种估计的一致性。

  • 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。

  • 网络扩展资料

    Maximum Likelihood Estimation(最大似然估计,简称MLE)是统计学中一种基于概率模型的参数估计方法,其核心思想是:在给定观测数据的情况下,选择能使这些数据出现概率最大的参数值作为估计值。


    核心概念与原理

    1. 似然函数(Likelihood Function)
      假设观测数据为 ( X = {x_1, x_2, ..., xn} ),且数据服从某个概率分布 ( P(X|theta) ),其中 (theta) 是未知参数。
      似然函数定义为参数 (theta) 的函数:
      $$ L(theta | X) = prod
      {i=1}^n P(x_i | theta) $$
      它表示在参数 (theta) 下,观测到数据 (X) 的联合概率。

    2. 最大化似然函数
      MLE的目标是找到使 ( L(theta | X) ) 最大的 (theta) 值,即: $$ hat{theta}{text{MLE}} = argmax{theta} L(theta | X) $$
      实际操作中,常对似然函数取对数(转化为对数似然函数),简化计算: $$ ln L(theta | X) = sum_{i=1}^n ln P(x_i | theta) $$


    具体步骤

    1. 假设数据分布(如正态分布、伯努利分布等);
    2. 写出似然函数;
    3. 取对数并求导,找到导数为零的临界点;
    4. 验证是否为最大值(如二阶导数为负)。

    示例:抛硬币问题

    假设抛硬币10次,观察到7次正面(H)和3次反面(T)。用MLE估计正面概率 ( p ):

    1. 假设分布:伯努利分布(单次试验概率为 ( p^H (1-p)^T ));
    2. 似然函数:( L(p) = p (1-p) );
    3. 对数似然:( ln L(p) = 7ln p + 3ln(1-p) );
    4. 求导并解方程:
      $$ frac{d}{dp} ln L(p) = frac{7}{p} - frac{3}{1-p} = 0 quad Rightarrow quad hat{p}_{text{MLE}} = 0.7 $$

    优缺点


    应用场景

    MLE广泛应用于机器学习、经济学、生物统计等领域,例如:

    如果需要进一步理解具体案例或数学推导,可以参考统计学习或概率论教材。

    网络扩展资料二

    最大似然估计是一种统计学方法,用于在给定一些观测数据的情况下,估计一个概率分布的参数。以下是最大似然估计的详细解释:

    例句

    用法

    最大似然估计是一种常见的参数估计方法。例如,在机器学习中,我们可以使用最大似然估计来确定模型的参数,以使得模型的输出概率最大程度地接近实际观测数据。

    解释

    最大似然估计的基本思想是,给定一组观测数据,我们想要估计一个概率分布的参数。最大似然估计的目标是找到一个参数值,使得该参数下,观测数据的概率最大。也就是说,最大似然估计估计的是一个参数的“最可能性”。

    近义词

    最大似然估计的近义词包括最大似然法、极大似然估计、极大似然法等。

    反义词

    最大似然估计的反义词是最小二乘估计(Least Squares Estimation),它是一种用于回归分析的参数估计方法。

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