jplv7
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：6497KB
下载次数：9
上传日期：2019-05-22 10:24:11
上 传 者：
美丽的秘密
说明： 空间计量的实现,完全可以实现空间计量经济学的
(Realization of Spatial Measurement)
文件列表:
jplv7 (0, 2000-02-21)
jplv7\Moran_I.m (1361, 2018-07-24)
jplv7\SAR (0, 2000-02-21)
jplv7\SAR\data.mat (8256, 2019-05-20)
jplv7\SAR\data_SAR_run.m (367, 2019-05-20)
jplv7\SAR\f_sar.m (1804, 2004-11-12)
jplv7\SAR\fdelw2.m (2788, 2003-12-13)
jplv7\SAR\invpd.m (855, 2004-10-19)
jplv7\SAR\lndetfull.m (1603, 2004-03-05)
jplv7\SAR\lndetmc.m (2775, 2007-06-07)
jplv7\SAR\matadd.m (1103, 2001-03-28)
jplv7\SAR\mprint.m (9477, 2000-10-09)
jplv7\SAR\norm_prb.m (1055, 2000-10-10)
jplv7\SAR\origin_data.mat (8276, 2017-03-10)
jplv7\SAR\plt.m (3743, 2005-01-05)
jplv7\SAR\plt_spat.m (11742, 2001-12-27)
jplv7\SAR\prt.m (10091, 2010-03-21)
jplv7\SAR\prt_sar.m (44278, 2010-03-22)
jplv7\SAR\residuals.m (233, 2015-02-08)
jplv7\SAR\sar.m (21808, 2010-03-15)
jplv7\SAR\sar_d.m (238, 2015-01-07)
jplv7\SAR\sar_g.m (28700, 2010-03-14)
jplv7\SAR\spatial_temporal_weight_matrix.mat (17912, 2019-05-20)
jplv7\SAR\tdis_prb.m (1039, 2000-06-07)
jplv7\SAR\xy2cont.m (1383, 2003-12-13)
jplv7\SAR\ygenerate.m (272, 2015-01-07)
jplv7\SDM (0, 2000-02-21)
jplv7\SDM\beta_prior.m (1361, 2003-07-18)
jplv7\SDM\chis_rnd.m (1929, 2005-03-13)
jplv7\SDM\compare_models.m (3002, 2010-03-16)
jplv7\SDM\compare_models2.m (3885, 2003-12-02)
jplv7\SDM\contents.html (2182, 2003-11-16)
jplv7\SDM\contents.m (1358, 2005-01-29)
jplv7\SDM\data.mat (8256, 2019-05-20)
jplv7\SDM\data_SDM_run.m (969, 2019-05-20)
jplv7\SDM\f2_sdm.m (1516, 2010-03-14)
jplv7\SDM\f_sdm.m (1531, 2010-03-14)
jplv7\SDM\find_neighbors.m (2003, 2003-12-12)
jplv7\SDM\hessian.m (1261, 2010-03-14)
jplv7\SDM\invpd.m (855, 2004-10-18)
... ...
% spatial probit model with spatial individual effects
%
% semip_g.m - matlab program to compute estimates for spatial probit model with individual effects
% semip_gc.m - matlab program that calls semip_gcc.c mex file to do estimation
% compile with: mex semip_gcc.c matrixjpl.c randomlib.c
% matrixjpl.c: matrixjpl.h support files
% randomlib.c: randomlib.h support files
% semip_gd : demo file
% semip.mat : data for demo file
% semip_gd : An example of using semip_g and semip_gc
% semip_gd2 : a comparison of Metropolis-Hastings vs inversion sampling for rho
% semip_gcd : An example of using semip_gc
% semip_gcd2 : An example of using the seed function semip_gc
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