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找到约 1,632 项符合「Bayesian」的源代码

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www.eeworm.com/read/140851/13058443

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Min
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www.eeworm.com/read/138798/13211456

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Min
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www.eeworm.com/read/492929/6414171

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/158037/11648252

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Min
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www.eeworm.com/read/259241/11812542

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Minka,
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www.eeworm.com/read/13871/284300

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Min
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www.eeworm.com/read/396844/2407678

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Minka,
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www.eeworm.com/read/392854/8322627

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Minka,
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www.eeworm.com/read/147186/12578685

m matrix_t_pdf.m

function p = matrix_T_pdf(A, M, V, K, n) % MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution % p = matrix_T_pdf(A, M, V, K, n) % See "Bayesian Linear Regression", T. Min
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www.eeworm.com/read/103989/7119270

html average1_8hpp-source.html

Bayes++ Bayesian Filtering Classes: average1.h
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