Research Article
Feature Screening via Mutual Information Learning Based on Nonparametric Density Estimation
Table 3
The proportions of
and
in Example
2.
| Model | Parameter | cov (X) | Method | | | | |
| (a) |
| | PC-SIS | 1.00 | 0.96 | 0.69 | 0.65 | MV-SIS | 1.00 | 1.00 | 0.87 | 0.87 | MI-SIS2 | 1.00 | 0.88 | 0.73 | 0.55 | MI-SIS | 1.00 | 0.98 | 0.58 | 0.57 | | PC-SIS | 1.00 | 1.00 | 0.98 | 0.98 | MV-SIS | 1.00 | 1.00 | 1.00 | 1.00 | MI-SIS2 | 1.00 | 1.00 | 0.96 | 0.96 | MI-SIS | 1.00 | 1.00 | 1.00 | 1.00 | (b) |
| | PC-SIS | 0.35 | 0.59 | 0.99 | 0.20 | MV-SIS | 0.39 | 0.56 | 1.00 | 0.28 | MI-SIS2 | 0.46 | 0.64 | 0.99 | 0.29 | MI-SIS | 0.99 | 1.00 | 0.94 | 0.93 | | PC-SIS | 0.83 | 0.80 | 0.91 | 0.57 | MV-SIS | 0.42 | 0.48 | 0.98 | 0.25 | MI-SIS2 | 0.80 | 0.82 | 0.92 | 0.58 | MI-SIS | 1.00 | 1.00 | 0.91 | 0.91 |
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