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/397111/8067318
m gausspdf.m
function [y,d2] = gausspdf(x,mu,sigma,lambda)
%GAUSSPDF Multivariate Gaussian probability density function
%
% Y = GAUSSPDF(X,MU,SIGMA)
%
% High dimensional version of normpdf. Given the mean MU an
www.eeworm.com/read/493294/6400472
m gausspdf.m
function [y,d2] = gausspdf(x,mu,sigma,lambda)
%GAUSSPDF Multivariate Gaussian probability density function
%
% Y = GAUSSPDF(X,MU,SIGMA)
%
% High dimensional version of normpdf. Given the mean MU an
www.eeworm.com/read/492400/6422305
m gausspdf.m
function [y,d2] = gausspdf(x,mu,sigma,lambda)
%GAUSSPDF Multivariate Gaussian probability density function
%
% Y = GAUSSPDF(X,MU,SIGMA)
%
% High dimensional version of normpdf. Given the mean MU an
www.eeworm.com/read/400576/11573560
m gausspdf.m
function [y,d2] = gausspdf(x,mu,sigma,lambda)
%GAUSSPDF Multivariate Gaussian probability density function
%
% Y = GAUSSPDF(X,MU,SIGMA)
%
% High dimensional version of normpdf. Given the mean MU an
www.eeworm.com/read/223154/14652404
m mvar.m
function [ARF,RCF,PE,DC,varargout] = mvar(Y, Pmax, Mode);
% Estimates Multi-Variate AutoRegressive model parameters
% function [AR,RC,PE] = mvar(Y, Pmax);
%
% INPUT:
% Y Multivariate data seri
www.eeworm.com/read/213240/15140047
m gausspdf.m
function [y,d2] = gausspdf(x,mu,sigma,lambda)
%GAUSSPDF Multivariate Gaussian probability density function
%
% Y = GAUSSPDF(X,MU,SIGMA)
%
% High dimensional version of normpdf. Given the mean MU an
www.eeworm.com/read/470861/1443328
svn-base contents.m.svn-base
% SPM Spectral Estimation Toolbox
%
% Bayesian Autoregressive (AR) modelling: spm_ar.m
%
% Bayesian Multivariate Autoregressive (MAR) modelling [1,2,3]: spm_mar.m
%
% (MAR based) Granger causa
www.eeworm.com/read/273525/4210085
hlp hadimvo.hlp
{smcl}
{* 29mar2005}{...}
{cmd:help hadimvo}{right:also see: {help undocumented}}
{hline}
{title:Title}
{p 4 17 2}
{hi:hadimvo} {hline 2} Identify multivariate outliers
{title:Syntax}
www.eeworm.com/read/204456/15339342
m gausspdf.m
function [y,d2] = gausspdf(x,mu,sigma,lambda)
%GAUSSPDF Multivariate Gaussian probability density function
%
% Y = GAUSSPDF(X,MU,SIGMA)
%
% High dimensional version of normpdf. Given the mean MU an
www.eeworm.com/read/428849/8834926
m pdfgauss.m
function y = pdfgauss(X, arg1, arg2 )
% PDFGAUSS Evaluates multivariate Gaussian distribution.
%
% Synopsis:
% y = pdfgauss(X, Mean, Cov)
% y = pdfgauss(X, model )
%
% Description:
% y = pdfgauss(X