代码搜索:bayesian

找到约 1,632 项符合「bayesian」的源代码

代码结果 1,632
www.eeworm.com/read/103989/7119461

html classbayesian__filter_1_1numerical__rcond.html

Bayes++ Bayesian Filtering Classes: Bayesian_f
www.eeworm.com/read/103989/7119463

html structbayesian__filter_1_1sir__random.html

Bayes++ Bayesian Filtering Classes: Bayesian_f
www.eeworm.com/read/449504/7502075

m becmf_d.m

% PURPOSE: demonstrate the use of becmf % function to forecast a Bayesian % error correction model using Minnesota prior % --------------------------------------------- % usage: becm
www.eeworm.com/read/449504/7502118

m ols_gvd.m

% PURPOSE: demo of ols_g() % Gibbs sampling for Bayesian Heteroscedastic % Linear Model % %--------------------------------------------------- % USAGE: ols_gd %-------------
www.eeworm.com/read/449504/7502167

m ols_gd.m

% PURPOSE: demo of ols_g() % Gibbs sampling for Bayesian Heteroscedastic % Linear Model % %--------------------------------------------------- % USAGE: ols_gd %-------------
www.eeworm.com/read/449504/7502872

m mess_gd2.m

% PURPOSE: An example of using mess_g() on a large data set % Bayesian matrix exponential spatial model %--------------------------------------------------- % US
www.eeworm.com/read/449504/7502875

m messv_g3d2.m

% PURPOSE: An example of using messv_g3() on a large data set % Bayesian matrix exponential spatial model %--------------------------------------------------- %
www.eeworm.com/read/449504/7502877

m mess_g2d2.m

% PURPOSE: An example of using mess_g() % Bayesian matrix exponential spatial model % on a large data set %--------------------------------------------------- % U
www.eeworm.com/read/449504/7502878

m mess_g2d.m

% PURPOSE: An example of using mess_g2() % Bayesian matrix exponential spatial model % on a small data set %--------------------------------------------------- %
www.eeworm.com/read/449504/7502881

m mess_gd.m

% PURPOSE: An example of using mess_g() on a small data set % Bayesian matrix exponential spatial model %--------------------------------------------------- % US