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/147186/12578660
m student_t_logprob.m
function L = log_student_pdf(X, mu, lambda, alpha)
% LOG_STUDENT_PDF Evaluate the log of the multivariate student-t distribution at a point
% L = log_student_pdf(X, mu, lambda, alpha)
%
% Each col
www.eeworm.com/read/281979/9125418
m conjugate gradient minimization -minimize.m
function [X, fX, i] = minimize(X, f, length, varargin)
% Minimize a differentiable multivariate function.
%
% Usage: [X, fX, i] = minimize(X, f, length, P1, P2, P3, ... )
%
% where the starting poin
www.eeworm.com/read/469123/6977822
m minimize.m
function [X, fX, i] = minimize(X, f, length, varargin)
% Minimize a differentiable multivariate function.
%
% Usage: [X, fX, i] = minimize(X, f, length, P1, P2, P3, ... )
%
% where the starting poin
www.eeworm.com/read/273525/4208257
hlp y_estmts_fcast.hlp
{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
> {help y_estmts:Multivariate time series}
{bind:> {bf:Forecasting from a VAR, SVAR, or VECM}}
{p_end}
{
www.eeworm.com/read/273525/4208262
hlp y_estmts_vars.hlp
{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
> {help y_estmts:Multivariate time series}
{bind:> {bf:VARs & SVARs}}
{p_end}
{hline}
{title:Help and
www.eeworm.com/read/273525/4208311
hlp y_grmv.hlp
{smcl}
{p 0 4}
{help contents:Top}
> {help y_graphics:Graphics}
> {help y_gr_draw:Graph types}
> {help y_othergraph:Other graph drawing commands}
{bind:> {bf:Multivariate}}
{p_end}
{hline}
www.eeworm.com/read/273525/4208364
hlp y_estmts_irf.hlp
{smcl}
{p 0 4}
{help contents:Top}
> {help y_stat:Statistics}
> {help y_est:Estimation}
> {help y_estmts:Multivariate time series}
{bind:> {bf:IRFs & FEVDs}}
{p_end}
{hline}
{title:Help and
www.eeworm.com/read/428849/8833754
html references.html
References
[Anderson62]
T.W.Anderson and R.R.Bahadur.
Classification into two multivariate normal distributions with differrentia
covariance mat
www.eeworm.com/read/362246/10009468
html references.html
References
[Anderson62]
T.W.Anderson and R.R.Bahadur.
Classification into two multivariate normal distributions with differrentia
covariance mat
www.eeworm.com/read/355337/10275226
m gauss_pdf.m
%GAUSS_PDF Multivariate Gaussian PDF
%
% Syntax:
% [P,E] = GAUSS_PDF(X,M,S)
%
% In:
% X - Dx1 value or N values as DxN matrix
% M - Dx1 mean of distibution or N values as DxN matrix.
%