Bayesian Statistics

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    贝叶斯统计学

数据更新时间:2026-06-25 20:14:24
1、

Based on Bayesian statistics and the robust estimation principle.

基于贝叶斯统计和抗差估计原理,我们构造了一种抗差滤波算法.

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2、

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.

本文从不同的角度系统地研究GARCH类模型的估计方法,以探索和研究贝叶斯统计的新领域,并针对性地对模型进行扩展。

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3、

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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4、

there has been disputed about the basic theory and methods in statistics between bayesian school and classic statistics school.

贝叶斯学派和古典统计学派在统计的基础理论和方法上一直存在争议。

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5、

although he knew that alan was interested in bayesian statistics, he had no idea that alan had independently invented sequential analysis in hut.

虽然他知道图灵对贝叶斯统计很有兴趣,但他并不知道,图灵曾经在8号营房独立发明了序贯分析。

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6、

a typical example of information geometry is a curved exponential family. we consider the classical inference of estima-tion and its bayesian statistics from the geometric point of view.

信息几何中一个典型的例子就是曲指数族,我们从几何的角度考虑了其经典的统计推断和贝叶斯统计。

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7、

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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8、

Confidence intervals play a similar role in frequentist statistics to the credibility interval in Bayesian statistics.

置信区间之于频率论统计,好比可信区间之于贝氏统计.

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9、

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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10、

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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11、

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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12、

RESULTS: This method can be used as variance analysis and data processing of Bayesian statistics evalustion.

结果: 本法可进行方差分析及贝叶斯法评价的数据处理.

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13、

Mahout currently supports two related approaches to categorizing/ classifying content based on bayesian statistics.

Mahout目前支持两种根据贝氏统计来实现内容分类的方法。

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14、

Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.

贝叶斯统计理论: 阐述贝叶斯网络的数学原理 —— 贝叶斯统计.

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15、

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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16、

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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17、

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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18、

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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19、

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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20、

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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21、

as one of the best classification methods, bayesian classifiers, being founded on bayesian statistics and bayesian networks, have strong ability of processing incomplete data, meaningful model and high precision.

在众多的分类方法中,贝叶斯分类方法因建立在贝叶斯统计学和贝叶斯网络基础上,能够有效地处理不完整数据,并且具有模型可解释、精度高等优点,而被认为是最优分类模型之一。

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22、

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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23、

the development and argument of bayesian statistics

贝叶斯统计的发展及其争鸣

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24、

bayesian network is a new pattern classification graph model based on bayesian statistics, it is an intelligent tool that can integrate prior knowledge and sample information in classification and causality discrimination for data processing.

贝叶斯网络是在贝叶斯统计基础上发展起来的新的模式分类方法,它提供了一种可以同时利用先验知识和样本信息进行分类和判别因果关系的遥感数据处理工具。

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25、

according to the theory of bayesian statistics, using the standard tikhonov regularization as the prior information, the posterior distribution of the permittivity parameters is obtained. 3 、 the maximum a posteriori ( map) estimate based on conjugate gradient method was implemented.

根据贝叶斯统计理论,以标准的Tikhonov正则化作为先验信息,获得了介电常数的后验分布。3、利用共轭梯度法实现对后验分布的最大后验概率估计。

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