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/150760/12265492
pl references.pl
{
"Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two
multivariate normal distributions with differrentia covariance matrices.
Anals of Mathematical Statistics, 33:420--431, Ju
www.eeworm.com/read/336521/12439424
m gausprod.m
function [g,u,k]=gausprod(m,c,e)
%GAUSPROD calculates a product of gaussians [G,U,K]=(M,C)
% calculates the product of n d-dimensional multivariate gaussians
% this product is itself a gaussian
%
www.eeworm.com/read/336521/12439852
m lognmpdf.m
function p=lognmpdf(x,m,v)
%LOGNMPDF calculate pdf of a multivariate lognormal distribution P=(X,M,V)
%
% Inputs: X(N,D) are the points at which to calculate the pdf (one point per row)
%
www.eeworm.com/read/228372/14387895
m gausprod.m
function [g,u,k]=gausprod(m,c,e)
%GAUSPROD calculates a product of gaussians [G,U,K]=(M,C)
% calculates the product of n d-dimensional multivariate gaussians
% this product is itself a gaussian
%
www.eeworm.com/read/228372/14388159
m lognmpdf.m
function p=lognmpdf(x,m,v)
%LOGNMPDF calculate pdf of a multivariate lognormal distribution P=(X,M,V)
%
% Inputs: X(N,D) are the points at which to calculate the pdf (one point per row)
%
www.eeworm.com/read/213492/15133543
pl references.pl
{
"Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two
multivariate normal distributions with differrentia covariance matrices.
Anals of Mathematical Statistics, 33:420--431, Ju
www.eeworm.com/read/213240/15139989
m fastmcd.m
function [res,raw]=fastmcd(data,options);
% version 22/12/2000, revised 19/01/2001, new reweighted correction factors and old cutoff 9/07/2001
%
% FASTMCD computes the MCD estimator of a multivariate
www.eeworm.com/read/376881/2706600
pl references.pl
{
"Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two
multivariate normal distributions with differrentia covariance matrices.
Anals of Mathematical Statistics, 33:420--431, Ju
www.eeworm.com/read/371708/2778984
pl references.pl
{
"Anderson62" =>"T.W.Anderson and R.R.Bahadur. Classification into two
multivariate normal distributions with differrentia covariance matrices.
Anals of Mathematical Statistics, 33:420--431, Ju
www.eeworm.com/read/393518/8280716
m gausprod.m
function [g,u,k]=gausprod(m,c,e)
%GAUSPROD calculates a product of gaussians [G,U,K]=(M,C)
% calculates the product of n d-dimensional multivariate gaussians
% this product is itself a gaussian
%