contents.m

计量工具箱

% first-order spatial autoregressive model estimation functions
%
%  compare_weights : An example of model comparison using far_g
%           f2_far : evaluate the log-likelihood for ML rho,sigma values
%            f_far : evaluate the concentrated log-likelihood 
%              far : computes 1st-order spatial autoregressive estimates
%            far_d : An example of using far() on a small data set
%           far_d2 : An example of using far() on a large data set
%            far_g : Bayesian estimates for the 1st-order Spatial autoregressive model
%           far_gd : An example of using far_g(), small dataset
%          far_gd2 : An example of using far_g(), large dataset
%          far_gd3 : An example of Metropolis-Hastings vs. sampling by inversion
%       far_timing : A timing comparison small vs large datasets
%          plt_far : Plots output using FAR model results structures
%          prt_far : Prints output using far model results structures