代码搜索：Bayesian

找到约 1,632 项符合「Bayesian」的源代码

代码结果 1,632
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www.eeworm.com/read/103989/7119476

html ciflt_8hpp-source.html

Bayes++ Bayesian Filtering Classes: CIFlt.hpp
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www.eeworm.com/read/103989/7119477

html sirflt_8cpp.html

Bayes++ Bayesian Filtering Classes: SIRFlt.cpp
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www.eeworm.com/read/103989/7119491

html bayesflt_8hpp.html

Bayes++ Bayesian Filtering Classes: bayesFlt.h
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www.eeworm.com/read/103989/7119501

html matsup_8hpp.html

Bayes++ Bayesian Filtering Classes: matSup.hpp
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www.eeworm.com/read/103989/7119502

html indirect_8hpp.html

Bayes++ Bayesian Filtering Classes: indirect.h
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www.eeworm.com/read/103989/7119504

html models_8hpp-source.html

Bayes++ Bayesian Filtering Classes: models.hpp
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www.eeworm.com/read/449504/7502128

m ols_gv.m

function results = ols_gv(y,x,ndraw,nomit,prior) % PURPOSE: MCMC estimates for the Bayesian heteroscedastic linear model % y = X B + e, p(e_i) = f_t(e_i | 0, v_i, lambda) % p(V) =
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www.eeworm.com/read/449504/7502806

m sem_g.m

function results = sem_g(y,x,W,ndraw,nomit,prior) % PURPOSE: Bayesian estimates of the spatial error model % y = XB + u, u = rho*W + e % e = N(0,sige*V), V = diag(v1,v2,...vn) %
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www.eeworm.com/read/449504/7503057

m sart_g.m

function results = sart_g(y,x,W,ndraw,nomit,prior) % PURPOSE: Bayesian estimates of the spatial autoregressive tobit model % y = rho*W*y + XB + e, e = N(0,sige*V), V = diag(v1,v2,...vn) %
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www.eeworm.com/read/440842/7680265

m ols_gv.m

function results = ols_gv(y,x,ndraw,nomit,prior) % PURPOSE: MCMC estimates for the Bayesian heteroscedastic linear model % y = X B + e, p(e_i) = f_t(e_i | 0, v_i, lambda) % p(V) =
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