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/415313/11076558

m fevbayes.m

function [extra, invhess] = fevbayes(net, y, a, x, t, x_test, invhess) %FEVBAYES Evaluate Bayesian regularisation for network forward propagation. % % Description % EXTRA = FEVBAYES(NET, Y, A, X, T, X
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www.eeworm.com/read/413912/11137256

m fevbayes.m

function [extra, invhess] = fevbayes(net, y, a, x, t, x_test, invhess) %FEVBAYES Evaluate Bayesian regularisation for network forward propagation. % % Description % EXTRA = FEVBAYES(NET, Y, A, X, T, X
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www.eeworm.com/read/449504/7502052

m bvar_g.m

function result = bvar_g(x,nlag,ndraw,nomit,prior,xx); % PURPOSE: Gibbs sampling estimates for Bayesian vector % autoregressive model using Minnesota-type prior % y = A(L) Y + X B +
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www.eeworm.com/read/449504/7502063

m recmf_g.m

function ylevf = recmf_g(y,nlag,nfor,begf,prior,ndraw,nomit,r) % PURPOSE: Gibbs sampling forecasts for Bayesian error correction % model using Random-walk averaging prior % dy = A(L
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www.eeworm.com/read/449504/7502095

m recm_g.m

function results = recm_g(y,nlag,prior,ndraw,nomit,r) % PURPOSE: Gibbs sampling estimates for Bayesian error correction % model using Random-walk averaging prior % dy = A(L) DY + E
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www.eeworm.com/read/449504/7502105

m becmf_g.m

function ylevf = becmf_g(y,nlag,nfor,begf,prior,ndraw,nomit,r); % PURPOSE: Gibbs sampling forecasts for Bayesian error % correction model using Minnesota-type prior % dy = A(L) DY +
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www.eeworm.com/read/449504/7503010

m bcasetti.m

function results=bcasetti(y,x,xc,yc,ndraw,nomit,option) % PURPOSE: computes a heteroscedastic Bayesian variant of Casetti's spatial expansion regression % y = X*g + e, e = N(0,sige*V) %
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www.eeworm.com/read/302157/13840911

hpp average1.hpp

#ifndef _BAYES_FILTER_AVERAGE1 #define _BAYES_FILTER_AVERAGE1 /* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms and conditio
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www.eeworm.com/read/302157/13840926

hpp sirflt.hpp

#ifndef _BAYES_FILTER_SIR #define _BAYES_FILTER_SIR /* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms and conditions of use.
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www.eeworm.com/read/302157/13840929

hpp udflt.hpp

#ifndef _BAYES_FILTER_UD #define _BAYES_FILTER_UD /* * Bayes++ the Bayesian Filtering Library * Copyright (c) 2002 Michael Stevens * See accompanying Bayes++.htm for terms and conditions of use. *
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