this dissertation studied the estimation method of garch model from a different point of view, to explore the new field of bayesian statistics, and improve the model in appropriate.

this method allocates the reliability to each module, and valuates the reliability of the single module using bayesian statistics.

该方法将系统的可靠性指标分配到各任务模块，并将贝叶斯理论用于单个模块的可靠性测评。

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therefore, it is an important way to solve this problem by the integration of bayesian statistics inference with gis.

因此，与擅长于此的贝叶斯统计推理技术相结合则是解决这一问题的重要途径。

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application of excel in bayesian statistics of bioequivalence

Excel在生物等效性贝叶斯法统计运算中的应用

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a variable selection method is proposed based on the combination of genetic algorithm and bayesian statistics and verified by simulation data;

提出了一种用遗传算法和贝叶斯统计方法相结合的变量选择方法，并通过仿真例子验证了其有效性；

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the parameter of this model was estimated successfully by bayesian statistics and the estimated result is reliable.

成功地引入了贝叶斯统计法来估计该模型参数，并对其结果进行相关性和显著性分析，证明了估计结果的可靠性。

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mining biomedical literature based on bayesian statistics

基于贝叶斯统计的生物医学文献挖掘

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the development and argument of bayesian statistics

贝叶斯统计的发展及其争鸣

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classification of two-class gene expression data using bayesian statistics

基于贝叶斯统计方法的两总体基因表达数据分类

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an application of bayesian statistics to engine calibration experiment

贝叶斯原理在发动机标定中的应用

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the theory development and the applied space of bayesian statistics were explored.

探讨了贝叶斯统计未来理论发展及其应用空间。

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study on the two statistical tables by means of bayesian statistics

用贝叶斯统计法研究两种统计用表

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by discussing defining the coefficient of focus degree of subordinate function, this article applies fuzzy mathematics to bayesian statistics to form a new method on hypothesis testing.

文章通过对隶属函数的集中度系数确定的探讨，将模糊数学应用于贝叶斯统计学，从而形成了一种新的假设检验方法。

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bayes factor is the major tool for model selection in bayesian statistics.

在贝叶斯统计学中，贝叶斯因子是进行模型选择的主要工具。

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in the paper, moving object segmentation algorithm based on mean field theory ( mft) using maximum a posteriori estimation of markov random field ( mrf-map) is proposed.

研究了基于均值场理论和马尔可夫场的运动目标分割方法。

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the application of a gaussian markov random fields ( gmrf) based maximum a posteriori probability ( map) estimation for image gaussian noise filter was presented.

提出了基于高斯马尔可夫随机场（GMRF）的最大后验概率（MAP）估计在图像高斯噪声滤波中的应用方法。

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according to this approach, a statistically based cost function through which phase unwrapping is treated as a maximum a posteriori probability ( map) estimation problem is defined.

从这一思路出发，一方面本文引入了基于极大验后估计（MAP）的统计费用优化指标函数，并给出了特定的应用模型；

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under such prior distribution, maximum a posteriori ( map) estimator is used to restore the wavelet coefficients from the noisy observations.

在此先验分布的基础上，通过运用最大后验概率估计方法从含噪系数中恢复原始系数，来达到滤出噪声的目的。

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the modified sliding-window maximum a posteriori

改进的滑动窗最大后验译码

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in this paper, we proposed an emm ( error minimum and maximum a posteriori estimation) method to restore the blurred image.

在本论文中，提出一种EMM（最小恢复残差和最大后验概率）方法进行模糊图像的盲恢复。

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to solve the effect of channel changes on the performance of speaker identification system, apply the method of maximum a posteriori to specific channel compensation.

为了解决通道变化对说话人识别系统性能的影响，将最大后验概率方法应用到具体的通道补偿中。

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