代码搜索：Likelihood
找到约 1,457 项符合「Likelihood」的源代码
代码结果 1,457
www.eeworm.com/read/432021/8638295
c likelihood.c
/*
* $Id: likelihood.c 1339 2006-09-21 19:46:28Z tbailey $
*
* $Log$
* Revision 1.2 2005/10/25 19:06:39 nadya
* rm old macro for Header, all info is taken care of by Id and Log.
*
* Revision
www.eeworm.com/read/432021/8638386
o likelihood.o
www.eeworm.com/read/432021/8638898
o likelihood.o
www.eeworm.com/read/200886/15420749
m likelihood.m
%function [ll,mainLikes,timePriorTerm,scalePriorTerm,nuTerm,lambdaTerm] = likelihood(samples,G)
%
% Calculate the likelihood of the the samples
% i.e. integrating out over hidden states
function [ll,
www.eeworm.com/read/189039/8495592
m likelihood_to_bit.m
function [Output] = Likelihood_to_bit(Input)
Output = zeros(length(Input),1);
for i = 1:length(Input)
if Input(i) >=0
Output(i) = 1;
else
Output(i) = 0;
end
end
www.eeworm.com/read/288877/8596932
txt likelihood.m.txt
function lv = Likelihood(p,d)
% lv = Likelihood(p,d)
% Calculate value of likelihood for state p given data d
% Structure p must include correct Green's functions for the resistances
% Colin Fox
www.eeworm.com/read/361768/10036622
m multigarch_likelihood.m
function [LLF,Ht, likelihoods] = multigarch_likelihood(parameters,data,p,o,q,garchtype, errortype, stdEstimate)
% PURPOSE:
% Likelihood for multigarch
%
% USAGE:
% [LLF,Ht, likelihoods] = mu
www.eeworm.com/read/361768/10036630
m maxfilter_likelihood.m
function [LLF, errors, likelihoods] = armaxfilter_likelihood(parameters , regressand , regressors, ma)
% PURPOSE:
% Likelihood function for armaxfilter
%
% USAGE:
% [LLF, errors, likelihoods
www.eeworm.com/read/361768/10036632
m armaxfilter_likelihood.m
function [LLF, errors, likelihoods] = armaxfilter_likelihood(parameters , regressand , regressors, ar , ma, tau)
% PURPOSE:
% This is the likelihood function for armaxfilter
%
% USAGE:
%
www.eeworm.com/read/461264/7230546
pro max_likelihood.pro
;+
; NAME:
; MAX_LIKELIHOOD
;
; PURPOSE:
; Maximum likelihood deconvolution of an image or a spectrum.
; EXPLANATION:
; Deconvolution of an observed image (or spectrum) given the
; instrument point