代码搜索：spatial
找到约 1,342 项符合「spatial」的源代码
代码结果 1,342
www.eeworm.com/read/449504/7502832
m f2_sempanel.m
function llike = f2_sempanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML parameters
% spatial panel error model using sparse matrix algorithms
% --------------------------
www.eeworm.com/read/449504/7502875
m messv_g3d2.m
% PURPOSE: An example of using messv_g3() on a large data set
% Bayesian matrix exponential spatial model
%---------------------------------------------------
%
www.eeworm.com/read/449504/7502966
m f_sdm.m
function llike = f_sdm(rho,y,x,W,detval)
% PURPOSE: evaluates concentrated log-likelihood for the
% spatial durbin model using sparse matrix algorithms
% ---------------------------------
www.eeworm.com/read/449504/7502979
m sem_gmmd2.m
% PURPOSE: An example of using sem_gmm,sem2_gmm on a large data set
% GM estimation of the spatial error model
%-------------------------------------------------
www.eeworm.com/read/449504/7503003
m nllsrho_minz2.m
function e=nllsrho_minz2(rhovec,infoz,stat,Gn,Gn2)
%An M File to Calculate Spatial error parameter
e =abs(Gn2-Gn*[rhovec(1);rhovec(2);rhovec(1)*rhovec(2);rhovec(1)^2;rhovec(2)^2;rhovec(3)]);
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/449504/7503077
m f2_sar.m
function llike = f2_sar(parm,y,x,W,detval)
% PURPOSE: evaluates log-likelihood -- given ML estimates
% spatial autoregressive model using sparse matrix algorithms
% -------------------------------
www.eeworm.com/read/440480/7688743
m stfeatures_periodic.m
% Piotr's spatiotemporal feature detector - interface through stfeatures.
%
% INPUTS
% I - 3D double input image
% sigma - spatial scale
% tau - temporal scale (must be >~1.1)
%
% O
www.eeworm.com/read/436588/7767146
m f_sempanel.m
function lik = f_sempanel(rho,eD,W,detval,T)
% PURPOSE: evaluates concentrated log-likelihood for the
% spatial panel error model using sparse matrix algorithms
% --------------------------------
www.eeworm.com/read/436588/7767147
m f2_sarpanel.m
function llike = f2_sarpanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML estimates
% spatial panel autoregressive model using sparse matrix algorithms
% ------------------