Title:
the-maximum-likelihood-estimate
Download
Description: 1, the maximum likelihood estimate of 0 to 24 try-order polynomial fitting, with 5-fold cross-validation to select the best model (polynomial order and coefficients are given in Figure similar courseware), and draw the best model Fitting renderings (similar to Figure 1, a blue dot to the training sample, the test sample is red dot, the green line is the model prediction), the test error of the model are given. 2, ridge regression polynomial order of 24, the regular coefficient ranges λ is exp (-19) to exp (20), and with the use of 5-fold cross-validation to select the best model. The experimental results with a requirement.
To Search:
File list (Check if you may need any files):
作业3代码源文件\3.1test error.txt
...............\3.1最佳拟合效果图.jpg
...............\3.1模型选择图.jpg
...............\3.2test error.txt
...............\3.2岭回归模型选择图.jpg
...............\3.2最佳拟合效果图.jpg
...............\cv_mle.m
...............\cv_ridge.asv
...............\cv_ridge.m
...............\cv_risk.m
...............\fdm.m
...............\fdm_c.m
...............\homework3_1.asv
...............\homework3_1.m
...............\homework3_2_c.asv
...............\homework3_2_c.m
...............\hw3data.mat
...............\lr_mle.m
...............\qr_ols.m
...............\ridge_reg.m
极大似然估计和岭回归报告.docx
作业3代码源文件
