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/362500/9995967

m figmerit.m

function [nas,nnas,sens,sel,nfnas] = figmerit(x,y,Rhat) %FIGMERIT Analytical figures of merit for multivariate calibration % Calculates analytical figures of merit for PLS and PCR models. % The i
www.eeworm.com/read/361768/10036518

m o_mvgarch.m

function [parameters, Ht, stdresid, stderrors, A, B, weights, principalcomponets, cumR2]=o_mvgarch(data, numfactors,archP,garchQ); % PURPOSE: % Estimates a multivariate GARCH model using Ort
www.eeworm.com/read/361768/10036549

m full_bekk_t_mvgarch.m

function [parameters, loglikelihood, Ht, likelihoods, stdresid, stderrors, A, B, scores] = full_bekk_T_mvgarch(data,p,q, BEKKoptions); % PURPOSE: % To Estimate a full BEKK multivariate GARCH m
www.eeworm.com/read/270548/11033299

m normalizedata_min0.m

function [normData, shifts] = normalizeData_min0(data) % Normalizes a multivariate dataset data (where each data vector is a row in data) % by shifting such that in each column the min becomes 0.
www.eeworm.com/read/449504/7502684

m o_mvgarch.m

function [parameters, Ht, stdresid, stderrors, A, B, weights, principalcomponets, cumR2]=o_mvgarch(data, numfactors,archP,garchQ); % PURPOSE: % Estimates a multivariate GARCH model using Ort
www.eeworm.com/read/449504/7502706

m full_bekk_t_mvgarch.m

function [parameters, loglikelihood, Ht, likelihoods, stdresid, stderrors, A, B, scores] = full_bekk_T_mvgarch(data,p,q, BEKKoptions); % PURPOSE: % To Estimate a full BEKK multivariate GARCH m
www.eeworm.com/read/446117/7585302

c likelihood_mvgm.c

/* likelihood_mvgm Compute the likelihood of a Multivariate Gaussian Mixture L(Z|x) where x = (M , S) Usage L = likelihood_mvgm(Z , M , S , [P]); ------ Inputs
www.eeworm.com/read/198970/7900267

m ksizemsp.m

function h = ksizeMSP(npd,noIQR) % "Maximal Smoothing Principle" estimate (Terrel '90) % Modified similarly to ROT for multivariate densities % Use ksizeMSP(X,1) to force use of stddev. instead of
www.eeworm.com/read/198546/7928776

m o_mvgarch.m

function [parameters, Ht, stdresid, stderrors, A, B, weights, principalcomponets, cumR2]=o_mvgarch(data, numfactors,archP,garchQ); % PURPOSE: % Estimates a multivariate GARCH model using Ort
www.eeworm.com/read/198546/7928839

m full_bekk_t_mvgarch.m

function [parameters, loglikelihood, Ht, likelihoods, stdresid, stderrors, A, B, scores] = full_bekk_T_mvgarch(data,p,q, BEKKoptions); % PURPOSE: % To Estimate a full BEKK multivariate GARCH m