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/198546/7928767
m idcc_mvgarch.m
function [parameters, loglikelihood, Ht, likelihoods, stdresid, stderrors, A,B, jointscores]=Idcc_mvgarch(data,archP,garchQ,starter)
% PURPOSE:
% Estimates a multivariate GARCH model using th
www.eeworm.com/read/198546/7928789
m diagonal_bekk_mvgarch.m
function [parameters, loglikelihood, Ht, likelihoods, stdresid, stderrors, A, B, scores] = diagonal_bekk_mvgarch(data,p,q,BEKKoptions);
% PURPOSE:
% To Estimate a diagonal BEKK multivariate GARC
www.eeworm.com/read/321771/13399494
m contents.m
%
% Regression Toolbox for Matlab - Version 1.1
%
% See "Multivariate Regression - Techniques and Tools"
% HUT Control Engineering Laboratory, Report 125, 2003 (2nd edition)
%
% Heikki Hyotyni
www.eeworm.com/read/127236/14366869
m contents.m
%
% Regression Toolbox for Matlab - Version 1.1
%
% See "Multivariate Regression - Techniques and Tools"
% HUT Control Engineering Laboratory, Report 125, 2003 (2nd edition)
%
% Heikki Hyotyni
www.eeworm.com/read/410988/11261557
c loglike_mvgm.c
/* loglike_mvgm.c
Compute the loglikelihood of mixture of Multivariate Gaussian pdf.
Usage: logl = loglike_mvgm(Z , mu , sigma , p);
------
Inputs
------
Z Meas
www.eeworm.com/read/386050/8767384
m gauss.m
%GAUSS Generation of a multivariate Gaussian dataset
%
% A = GAUSS(N,U,G,LABTYPE)
%
% INPUT (in case of generation a 1-class dataset in K dimensions)
% N Number of objects to be generated (d
www.eeworm.com/read/375212/9369130
m cr.m
function b = cr(x,y,lv,powers);
%CR Continuum Regression for multivariate y
% The inputs are the matrix of predictor variables (x), matrix
% or vector of predicted variables (y), number of latent
www.eeworm.com/read/362500/9995853
m cr.m
function b = cr(x,y,lv,powers);
%CR Continuum Regression for multivariate y
% The inputs are the matrix of predictor variables (x), matrix
% or vector of predicted variables (y), number of latent
www.eeworm.com/read/362500/9996074
m plsrsgn.m
function coeff = plsrsgn(data,lv,out)
%PLSRSGN Generates a matrix of PLS models for MSPC
% This function constructs a matrix of PLS models that
% can be used like a PCA model for multivariate sta
www.eeworm.com/read/362013/10023694
m minimize.m
function [X, fX, i] = minimize(X, f, param, varargin);
% Minimize a continuous differentialble multivariate function. Starting point
% is given by "X" (D by 1), and the function named in the string "