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/362246/10010454
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
www.eeworm.com/read/361768/10036527
m full_bekk_simulate.m
function [data, Ht] = full_bekk_simulate(t,k,parameters,p,q);
% PURPOSE:
% To simulate a full BEKK multivariate GARCH model.
%
% USAGE:
% [data, Ht] = full_bekk_simulate(t,k,parameters,
www.eeworm.com/read/280595/10312410
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
www.eeworm.com/read/422591/10627024
rd kde.rd
\name{kde}
\alias{kde}
\title{Kernel density estimate for multivariate data}
\description{
Kernel density estimate for 1- to 6-dimensional data.
}
\usage{
kde(x, H, h, gridsize, gridtype, xmin, xma
www.eeworm.com/read/449504/7502694
m full_bekk_simulate.m
function [data, Ht] = full_bekk_simulate(t,k,parameters,p,q);
% PURPOSE:
% To simulate a full BEKK multivariate GARCH model.
%
% USAGE:
% [data, Ht] = full_bekk_simulate(t,k,parameters,
www.eeworm.com/read/440070/7694823
html rescale.html
rescale
Description of the program: rescale
This program takes a possibly multivariate t
www.eeworm.com/read/299459/7850887
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
www.eeworm.com/read/198546/7928798
m full_bekk_simulate.m
function [data, Ht] = full_bekk_simulate(t,k,parameters,p,q);
% PURPOSE:
% To simulate a full BEKK multivariate GARCH model.
%
% USAGE:
% [data, Ht] = full_bekk_simulate(t,k,parameters,
www.eeworm.com/read/312163/13617591
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
www.eeworm.com/read/150760/12266171
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