代码搜索：机载SAR
找到约 1,219 项符合「机载SAR」的源代码
代码结果 1,219
www.eeworm.com/read/449504/7503001
m sar_gmm.m
function results=sar_gmm(y,x,W)
% PURPOSE: computes Generalized Moments Estimates for Spatial Autoregressive Model
% y = rho*W*y + XB + e
% -----------------------------------------------
www.eeworm.com/read/449504/7503059
m plt_sar.m
function plt_sar(results,vnames)
% PURPOSE: Plots output using SAR model results structures
%---------------------------------------------------
% USAGE: plt_sar(results,vnames) or plt(results,vnam
www.eeworm.com/read/449504/7503064
m sar_gd.m
% PURPOSE: An example of using sar_g() Gibbs sampling
% spatial autoregressive model
% (on a small data set)
%---------------------------------------------------
www.eeworm.com/read/449504/7503066
m sar_timing.m
% PURPOSE: A timing comparison of heteroscedastic
% versus homoscedastic on small and large
% datasets
%---------------------------------------------------
%
www.eeworm.com/read/449504/7503068
m prt_sar.m
function prt_sar(results,vnames,fid)
% PURPOSE: Prints output using SAR results structures
%---------------------------------------------------
% USAGE: prt_sar(results,vnames,fid)
% Where: result
www.eeworm.com/read/449504/7503069
m sar_gcbma.m
function results = sar_gcbma(y,x,W,ndraw,prior)
% PURPOSE: MC^3 x-matrix specification for homoscedastic SAR model
% where the model contains an intercept
% -------------------------------
www.eeworm.com/read/449504/7503074
m sar_c.m
function results = sar_c(y,x,W,prior)
% PURPOSE: Bayesian log-marginal posterior for the spatial autoregressive model
% y = rho*W*y + XB + e, e = N(0,sige*In)
% B = N[0,inv(g*X'X)
www.eeworm.com/read/449504/7503078
m sar_gvd.m
% PURPOSE: An example of using sar_gv() Gibbs sampling
% spatial autoregressive model that constructs
% a posterior distribution for the heteroscedasticity
% parameter r
www.eeworm.com/read/449504/7503081
m f_sar.m
function llike = f_sar(rho,detval,epe0,eped,epe0d,n)
% PURPOSE: evaluates concentrated log-likelihood for the
% spatial autoregressive model using sparse matrix algorithms
% ---------------------
www.eeworm.com/read/449504/7503082
m sar_d.m
% PURPOSE: An example of using sar()
% spatial autoregressive model
% (on a small data set)
%---------------------------------------------------
% USAGE: sar_d