代码搜索：ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

代码结果 3,786
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m pca_pt.m

% PCA_PT - PCA with maximum a posteriori estimation % % PCA with maximum a posteriori estimates for the parameters of the % model X(:,j) = Mu + A*S(:,j) + Noise. The noise is isotropic and % Gauss
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www.eeworm.com/read/361768/10036503

m dcc_mvgarch_likelihood.m

function [logL, Rt, likelihoods, Qt]=dcc_mvgarch_likelihood(params, stdresid, P, Q) % PURPOSE: % Restricted likelihood for use in the DCC_MVGARCH estimation and % returns the likeliho
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www.eeworm.com/read/361768/10036505

m idcc_mvgarch_full_likelihood.m

function [logL, Rt, likelihoods]=Idcc_garch_full_likelihood(parameters, data, archP,garchQ) % PURPOSE: % Full likelihood for use in the DCC_MVGARCH estimation and % returns the likeli
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www.eeworm.com/read/361768/10036587

m garchpq.m

function [parameters, likelihood, ht, stderrors, robustSE, scores, grad] = garchpq(data , p , q , startingvals, options) % PURPOSE: % GARCH(P,Q) parameter estimation with normal innovations usin
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www.eeworm.com/read/361768/10036590

m fattailed_garchlikelihood2.m

function [LLF, h, likelihoods] = fattailed_garchlikelihood(parameters , data , p , q, errortype, stdEstimate, stdEstimate2, T, breakpt) % PURPOSE: % Likelihood for fattailed garch estimation %
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www.eeworm.com/read/361768/10036606

m garchpq_eviews.m

function [parameters, likelihood, ht, stderrors, robustSE, scores, grad] = garchpq(data , p , q , startingvals, options) % PURPOSE: % GARCH(P,Q) parameter estimation with normal innovations usin
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www.eeworm.com/read/361768/10036668

m maxcore.m

function [e,E]=maxcore(regressand,parameters,ma,tau); % PURPOSE: % Forward recursion for armax estimation % % USAGE: % [e,E]=maxcore(regressand,parameters,ma,tau) % % INPUTS: % S
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www.eeworm.com/read/165117/10075832

c fastdnaml.c

/* fastDNAml, a program for estimation of phylogenetic trees from sequences. * Copyright (C) 1998, 1999, 2000 by Gary J. Olsen * * This program is free software; you may redistribute it and/or
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www.eeworm.com/read/162188/10327794

src mlgradre.src

/* ** mlgradre.src - Forward Difference Derivatives using Richardson ** Extrapolation for Maximum Likelihood Estimation ** ** (C) Copyright 1988-1995 Aptech Systems, Inc. ** All R
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www.eeworm.com/read/422591/10627079

rd drvkde.rd

\name{drvkde} \alias{drvkde} \title{Kernel density derivative estimation} \description{ Compute kernel density derivative estimates and standard errors for multivariate data. } \usage{ drvkde(x
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