代码搜索：multivariate
找到约 564 项符合「multivariate」的源代码
代码结果 564
www.eeworm.com/read/273525/4208373
hlp y_estmts_irfutil.hlp
{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
> {help y_estmts:Multivariate time series}
> {help y_estmts_irf:IRFs & FEVDs}
{bind:> {bf:Manage IRF & FE
www.eeworm.com/read/470861/1443332
svn-base spm_mar.m.svn-base
function [mar,y,y_pred] = spm_mar (X,p,prior)
% Bayesian Multivariate Autoregressive Modelling
% FORMAT [mar,y,y_pred] = spm_mar (X,p,prior)
%
% Matrix of AR coefficients are in form
% x_t = -a_1
www.eeworm.com/read/289743/8530020
m minimize.m
function [X, fX, i] = minimize(X, f, length, P1, P2, P3, P4, P5);
% Minimize a continuous differentialble multivariate function. Starting point
% is given by "X" (D by 1), and the function named in t
www.eeworm.com/read/282683/9074246
m minimize.m
function [X, fX, i] = minimize(X, f, length, P1, P2, P3, P4, P5);
% Minimize a continuous differentialble multivariate function. Starting point
% is given by "X" (D by 1), and the function named in t
www.eeworm.com/read/361001/10069723
m minimize.m
function [X, fX, i] = minimize(X, f, length, P1, P2, P3, P4, P5);
% Minimize a continuous differentialble multivariate function. Starting point
% is given by "X" (D by 1), and the function named in t
www.eeworm.com/read/244800/12843057
m minimize.m
function [X, fX, i] = minimize(X, f, length, P1, P2, P3, P4, P5);
% Minimize a continuous differentialble multivariate function. Starting point
% is given by "X" (D by 1), and the function named in t
www.eeworm.com/read/231984/14212671
m minimize.m
function [X, fX, i] = minimize(X, f, length, P1, P2, P3, P4, P5);
% Minimize a continuous differentialble multivariate function. Starting point
% is given by "X" (D by 1), and the function named in t
www.eeworm.com/read/344585/3207995
m minimize.m
function [X, fX, i] = minimize(X, f, length, P1, P2, P3, P4, P5);
% Minimize a continuous differentialble multivariate function. Starting point
% is given by "X" (D by 1), and the function named in t
www.eeworm.com/read/428167/8885966
m gaussian_prob.m
function p = gaussian_prob(x, m, C, use_log)
% GAUSSIAN_PROB Evaluate a multivariate Gaussian density.
% p = gaussian_prob(X, m, C)
% p(i) = N(X(:,i), m, C) where C = covariance matrix and each COL
www.eeworm.com/read/427909/8912949
m gaussian_prob.m
function p = gaussian_prob(x, m, C, use_log)
% GAUSSIAN_PROB Evaluate a multivariate Gaussian density.
% p = gaussian_prob(X, m, C)
% p(i) = N(X(:,i), m, C) where C = covariance matrix and each COL