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Bayse

于 2021-01-05 发布

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下载积分: 1 下载次数: 2

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说明：贝叶斯方法将所有参数看作随机变量，将未知参数的先验信息与观测数据综合，再由贝叶斯定理求算出后验概率分布，进而根据后验分布去推断未知参数。(Bayesian method regards all parameters as random variables, synthesizes the prior information of unknown parameters with observation data, calculates the posterior probability distribution by Bayesian theorem, and infers unknown parameters according to the posterior distribution.)

文件列表：

Bayse, 0 , 2021-01-05
Bayse\A.xls, 20480 , 2020-12-22
Bayse\B.xls, 19968 , 2020-12-22
Bayse\bayse.m, 1282 , 2021-01-04
Bayse\C.xls, 19968 , 2020-12-22
Bayse\EF_RGL.m, 101 , 2020-12-22
Bayse\junyunfenbu.m, 205 , 2020-12-28
Bayse\lieklihood.m, 165 , 2020-12-28
Bayse\main_bayse.m, 748 , 2020-12-28
Bayse\NS_CAL.m, 101 , 2020-07-25
Bayse\runfall.xls, 19968 , 2020-12-28
Bayse\x1.xls, 19968 , 2020-12-22
Bayse\x2.xls, 19968 , 2020-12-22
Bayse\贝叶斯优化答案.xlsx, 137742 , 2021-01-04
Bayse\输入数据.xlsx, 28886 , 2020-12-29

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