代码搜索：ESTIMATION
找到约 3,786 项符合「ESTIMATION」的源代码
代码结果 3,786
www.eeworm.com/read/450608/7480395
m meancov.m
%MEANCOV Estimation of the means and covariances from multiclass data
%
% [U,G] = MEANCOV(A,N)
%
% INPUT
% A Dataset
% N Normalization to use for calculating covariances: by M, the number
%
www.eeworm.com/read/449504/7502058
m vare.m
function results = vare(y,nlag,x)
% PURPOSE: performs vector autogressive estimation
%---------------------------------------------------
% USAGE: result = vare(y,nlag,x)
% where: y = an (nobs
www.eeworm.com/read/449504/7502066
m contents.m
% vector autoregressive function library -- Jim LeSage
%
%
% becm : performs Bayesian error correction model estimation
% becm_d : demonstrate the use of becm
% becm
www.eeworm.com/read/449504/7502084
m var_resid.m
function resid = var_resid(y,nlag,x)
% PURPOSE: performs vector autogressive estimation
% and returns only residuals
% (used by lrratio.m)
%------------------------------------------
www.eeworm.com/read/449504/7502672
m idcc_mvgarch_likelihood.m
function [logL, Rt, likelihoods]=Idcc_mvgarch_likelihood(params, stdresid)
% PURPOSE:
% Restricted likelihood for use in the DCC_MVGARCH estimation and
% returns the likelihood of the
www.eeworm.com/read/449504/7503013
m contents.m
% Casetti model estimation functions
%
% bcasetti : computes a heteroscedastic Bayesian variant of Casetti's spatial expansion regression
% bcasetti_d : An example of using bcasetti
%
www.eeworm.com/read/441245/7673031
m meancov.m
%MEANCOV Estimation of the means and covariances from multiclass data
%
% [U,G] = MEANCOV(A,N)
%
% INPUT
% A Dataset
% N Normalization to use for calculating covariances: by M, the number
%
www.eeworm.com/read/435858/7782633
mdl kalmnsce.mdl
Model {
Name "kalmnsce"
Version 4.00
Description "Nonstationary channel estimation using a Kalman tra"
"cking filter\n"
SampleTimeColors off
LibraryLinkDisplay "none"
WideLin
www.eeworm.com/read/299955/7818690
m est.m
function [est_coefs,signal]=est(signal,ch_coefs,frames,sim_options)
%**************************************************************************
%This file carriers out channel estimation based on
www.eeworm.com/read/198546/7928749
m idcc_mvgarch_likelihood.m
function [logL, Rt, likelihoods]=Idcc_mvgarch_likelihood(params, stdresid)
% PURPOSE:
% Restricted likelihood for use in the DCC_MVGARCH estimation and
% returns the likelihood of the