代码搜索：ESTIMATION

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txt readme.txt

Last Update: September 2, 2004 1. The following MATLAB programs implement panel data estimation. PDE.m is the main program, and refer to the notes in it for the usage of the programs.
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c motion_est.c

/* * Motion estimation * Copyright (c) 2000,2001 Fabrice Bellard. * Copyright (c) 2002-2004 Michael Niedermayer * * * This library is free software; you can redistribute it and/or * modify it u
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m bayesian_parameter_est.m

function [mu, sigma] = Bayesian_parameter_est(train_features, train_targets, sigma, region) % Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm % Inputs: %
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m bayesian_parameter_est.m

function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma) % Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm % Inputs: % pattern
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m d_arma.m

%D_ARMA HOSA Demo: Linear Processes - Parametric (ARMA) model estimation % Blind deconvolution. echo off % Demo of armaqs, armarts % A. Swami Jan 20, 1995 % Copyrigh
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m bayesian_parameter_est.m

function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma) % Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm % Inputs: % pattern
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m dcc_mvgarch_full_likelihood.m

function [logL, Rt, likelihoods, Qt]=dcc_garch_full_likelihood(parameters, data, archP,garchQ,dccP,dccQ) % PURPOSE: % Full likelihood for use in the DCC_MVGARCH estimation and % retur
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m fattailed_garch.m

function [parameters, likelihood, stderrors, robustSE, ht, scores] = fattailed_garch(data , p , q , errors, startingvals, options) % PURPOSE: % FATTAILED_GARCH(P,Q) parameter estimation with dif
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m egarchx.m

function [parameters, likelihood, stderrors, robustSE, ht, scores]=egarchX(data,p,o,q,errors, X,options, startingvals); % PURPOSE: % EGARCHX(P,Q) parameter estimation with different error distri
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m fattailed_garch2.m

function [parameters, likelihood] = fattailed_garch2(data , p , q , breakpt , startingvals, options) % PURPOSE: % FATTAILED_GARCH(P,Q) parameter estimation with different error distributions, th
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