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/480200/6668158

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/393395/2474507

m hubertm.m

function [Mu,Sigma]=HubertM(x) % this function computes the location and scatter parameters % from T N-dimensional joint i.i.d realizations of a multivariate random % variable as represented by the
www.eeworm.com/read/160391/5571547

m gaussian_inf_engine.m

function engine = gaussian_inf_engine(bnet) % GAUSSIAN_INF_ENGINE Computes the joint multivariate Gaussian corresponding to the bnet % engine = gaussian_inf_engine(bnet) % % For details on how to
www.eeworm.com/read/237675/13939064

c mvgmmpdf.c

/* compute the pdf of a mixture of a Multivariate Gaussian process usage: pdf = mvgmmpdf(x , mu , sigma , p); Inputs x : support vector (d x N x [v1] , ... , [vp])
www.eeworm.com/read/289027/8584372

m ecmnmle.m

function [Mean, Covar] = ecmnmle(Data, InitMethod, MaxIter, Tolerance, Mean0, Covar0) %ECMNMLE Estimate mean and covariance of incomplete multivariate normal data. % Use the expectation conditional
www.eeworm.com/read/376789/9306428

m cmvnpdf.m

function y = cmvnpdf(X, Mu, Sigma) %CMVNPDF - (Complex range) multivariate normal probability density function (pdf). % Y = CMVNPDF(X) returns the n-by-1 vector Y, containing the probability
www.eeworm.com/read/179656/9345725

m cmvnpdf.m

function y = cmvnpdf(X, Mu, Sigma) %CMVNPDF - (Complex range) multivariate normal probability density function (pdf). % Y = CMVNPDF(X) returns the n-by-1 vector Y, containing the probability
www.eeworm.com/read/361765/10036890

cc mcmcprobit.cc

// MCMCprobit.cc is C++ code to estimate a probit regression model with // a multivariate normal prior // // Andrew D. Martin // Dept. of Political Science // Washington University in St. Louis // a
www.eeworm.com/read/361765/10036894

cc mcmcpoisson.cc

// MCMCpoisson.cc is C++ code to estimate a Poisson regression model with // a multivariate normal prior // // Andrew D. Martin // Dept. of Political Science // Washington University in St. Louis //
www.eeworm.com/read/361765/10036917

cc mcmcoprobit.cc

// MCMCoprobit.cc is C++ code to estimate a ordinalprobit regression // model with a multivariate normal prior // // Andrew D. Martin // Dept. of Political Science // Washington University in St. L