Either the maximum likelihood estimate or the maximum a posteriori estimate may be used in place of the exact value in the above equations.
采用最大似然估计或最大后验概率准则，用估计值来取代前面等式中的真实值。
We formalize this intuition by specifying a model of web browsing behavior and then deriving the maximum likelihood estimate of a user's social profile.
我们正式通过指定这个直觉的网页浏览行为模型，然后推导的极大似然估计一个用户的社会形象。
For the Rayleigh distribution, the moment estimate; the maximum likelihood estimate and the interval estimate of the parameter are given based on the full sample.
针对瑞利分布，在全样本场合下给出了参数的矩估计、极大似然估计和区间估计。
Systematically introduced parameter estimation of distributed sources on the base of models, including the maximum likelihood estimate, least squares estimator, DSPE, DISPARE, etc.
在模型基础上系统地介绍了已有分布式目标参数估计方法，包括最大似然与最小二乘算法，DSPE和DISPARE算法等。
Maximum pseudo-Likelihood method is used to estimate the coefficient functions in the diffusion of Single-Factor Interest Rate Models.
本文用极大拟似然估计法估计了中国银行间市场七天拆借利率扩散模型的参数。
A model and an algorithm were provided for constructing phylogenetic tree based on the principle of maximum likelihood estimate.
利用最大似然估计原理，给出了构建系统发生树的模型和算法。
Maximum likelihood sequence detection (MLSE) is broadly use in the digital communication system to estimate the transferred data through the ISI channel with noise.
最大似然序列检测技术被广泛应用于数字通信系统中来估计通过有噪声的符号间干扰（ISI）信道传输的数字数据序列。
We estimate simultaneously the texture parameters of multi polarimetric channels by the method of maximum likelihood under the assumption of multiple textures.
在多纹理假设下，采用最大似然方法来同时估计多个极化通道纹理参数。
The parameters in model are estimated by maximum likelihood estimate method.
利用最大似然估计法对模型中的参数进行了估计。
The parameters in model were estimated by maximum likelihood estimate method.
利用最大似然估计法对模型中的参数进行了估计。
We often estimate the return model parameter by ordinary least squares and maximum likelihood.
对回归模型进行参数估计时，常用的两种重要方法是普通最小二乘法和最大似然法。
The latter since include maximum likelihood estimate of the GPD(generalized Pareto distribution ) model parameters to still include moment estimate etc.
后者既包括基于广义帕雷托分布（GPD）参数的极大似然估计，又包括矩法估计等。
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。
This text establishes a model of space-time block code system at first, and also introduces the theory of maximum likelihood estimate.
文章首先建立了空时分组编码的系统模型，并且介绍了最大似然估计的理论。
In Chapter 4, we discuss and prove the consistency and asymptotic normality of maximum likelihood estimate to the exponential models.
第四章讨论了序贯指数模型的极大似然估计的强相合性和渐近正态性，并进行了证明。
Conclusion the maximum likelihood method based on MCECM algorithm can be used to estimate the parameters of non-linear factor analysis model.
结论基于MCECM算法的极大似然估计方法可用于估计非线性因子分析模型的参数。
We have derived the formulas for wavelet coefficients of the fractal signal and white noise separately on the basis of which the maximum likelihood method is used to estimate the fractal parameter.
分别推导了分形信号和白噪声的小波系数统计量的公式，在此基础上用最大似然法进行参数估计。
This paper focuses on Maximum Likelihood Sequence Estimate (MLSE), based on the widely study of basic principle, structure and algorithms of adaptive equalization.
在研究自适应均衡的原理、结构和算法的基础上，本文深入研究了最大似然序列估计(MLSE)。
They are consistent with the Sum Maximum Likelihood Estimate and have consistence and minimum bias.
当误差为正态分布时，与和极大似然估计完全一致，具有一致性和最小估值偏差。
Using Maximum-likelihood estimation, we choose the decision feed back carrier estimate method based sent list known.
应用最大似然估计，得到了判决反馈这种基于发送序列以知的载波估计方法。
The model is based on different semantic relationships, and is estimated according to maximum likelihood estimation. Semantic distance is used to estimate semantic relationships in estimating period.
该模型定义在不同语义关系之上，基于极大似然估计法利用语义距离来对语义关系进行参数估计。
Recursive maximum likelihood is used to estimate the parameters.
并用递推的极大似然法辨识参数。
A method is presented for estimating the location and dispersion effects from these experiments. Firstly, we estimate the variance and the mean of each cell with maximum likelihood;
本文对带有右截尾数据的有重复因子试验，提出了另一种分析位置效应和散度效应的方法：首先，在每一个试验点，对重复试验观察值用极大似然法估计出均值和方差；
A method is presented for estimating the location and dispersion effects from these experiments. Firstly, we estimate the variance and the mean of each cell with maximum likelihood;
本文对带有右截尾数据的有重复因子试验，提出了另一种分析位置效应和散度效应的方法：首先，在每一个试验点，对重复试验观察值用极大似然法估计出均值和方差；
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