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/469416/6976110
m student_t_logprob.m
function L = log_student_pdf(X, mu, lambda, alpha)
% LOG_STUDENT_PDF Evaluate the log of the multivariate student-t distribution at a point
% L = log_student_pdf(X, mu, lambda, alpha)
%
% Each col
www.eeworm.com/read/441178/7675096
m arstepfit.m
function [w, A, C, sbc, fpe, th]=arfit(v, pmin, pmax, selector, no_const)
%ARFIT Stepwise least squares estimation of multivariate AR model.
%
% [w,A,C,SBC,FPE,th]=ARFIT(v,pmin,pmax) produces estimat
www.eeworm.com/read/140851/13058419
m student_t_logprob.m
function L = log_student_pdf(X, mu, lambda, alpha)
% LOG_STUDENT_PDF Evaluate the log of the multivariate student-t distribution at a point
% L = log_student_pdf(X, mu, lambda, alpha)
%
% Each col
www.eeworm.com/read/138798/13211443
m student_t_logprob.m
function L = log_student_pdf(X, mu, lambda, alpha)
% LOG_STUDENT_PDF Evaluate the log of the multivariate student-t distribution at a point
% L = log_student_pdf(X, mu, lambda, alpha)
%
% Each col
www.eeworm.com/read/483033/6607920
m gmm_pdf.m
%GMM_PDF Multivariate Mixture of Gaussians PDF
%
% Syntax:
% [P,PJX] = GMM_PDF(X,M,S,PJ)
%
% In:
% X - Dx1 value or N values as DxN matrix
% M - DxNC matrix of means.
% S - DxDxN
www.eeworm.com/read/158037/11648230
m student_t_logprob.m
function L = log_student_pdf(X, mu, lambda, alpha)
% LOG_STUDENT_PDF Evaluate the log of the multivariate student-t distribution at a point
% L = log_student_pdf(X, mu, lambda, alpha)
%
% Each col
www.eeworm.com/read/259241/11812521
m student_t_logprob.m
function L = log_student_pdf(X, mu, lambda, alpha)
% LOG_STUDENT_PDF Evaluate the log of the multivariate student-t distribution at a point
% L = log_student_pdf(X, mu, lambda, alpha)
%
% Each column
www.eeworm.com/read/341201/12103661
m arfit.m
function [w, A, C, sbc, fpe, th]=arfit(v, pmin, pmax, selector, no_const)
%ARFIT Stepwise least squares estimation of multivariate AR model.
%
% [w,A,C,SBC,FPE,th]=ARFIT(v,pmin,pmax) produces estimat
www.eeworm.com/read/223154/14651806
m tfmvar.m
function [M,SE,R] = tfmvar(s,TRIG,T,MOP,f,Fs)
% TFMVAR Time-Frequency MVAR analysis
% time-frequency analysis of
% multivariate stochastic processes.
%
% [R] = tfmvar(s,TRIG,T,MOP,f,Fs)
%
www.eeworm.com/read/223154/14652340
m mvaar.m
function [x,e,Kalman,Q2] = mvaar(y,p,UC,mode,Kalman)
% Multivariate (Vector) adaptive AR estimation base on a multidimensional
% Kalman filer algorithm. A standard VAR model (A0=I) is implemented. T