Table 1 Simulation results for Models (7)–(9)
From: Sparse sliced inverse regression for high dimensional data analysis
| Â | Â | \(\boldsymbol{n}=\textbf{100},\,\boldsymbol{p}=\textbf{150}\) | \(\boldsymbol{n}=\textbf{200},\,\boldsymbol{p}=\textbf{150}\) | ||||
|---|---|---|---|---|---|---|---|
Model (7) | Model (8) | Model (9) | Model (7) | Model (8) | Model (9) | ||
Proposed method | TPR | 100 (2.3) | 99 (0.1) | 84 (1.8) | 100 (0.0) | 100 (0.0) | 91 (1.4) |
FPR | 6.8 (0.5) | 11 (0.1) | 7.5 (8.0) | 0.0 (0.0) | 0.0 (0.0) | 1.0 (0.1) | |
Corr | 98 (2.3) | 94 (0.1) | 72 (0.2) | 99 (0.0) | 99 (1.0) | 97 (2.0) | |
[12] | TPR | 96 (1.0) | 94 (1.2) | 91 (1.1) | 98(0.5) | 99 (0.5) | 99 (2.5) |
FPR | 6.0 (0.9) | 3.6 (0.7) | 7.4 (0.1) | 3.4 (0.4) | 1.1 (0.2) | 2.5 (0.3) | |
Corr | 88 (0.9) | 86 (1.1) | 74 (1.1) | 91 (0.5) | 92 (0.5) | 79 (0.6) | |
[16] | TPR | 95 (0.9) | 100 (0.0) | 100 (0.6) | 100 (0.0) | 100 (0.0) | 100 (0.0) |
FPR | 4.9 (0.1) | 4.8 (0.1) | 3.5 (0.1) | 5.9 (0.2) | 6.7 (0.3) | 4.5 (0.2) | |
Corr | 59 (1.1) | 88 (0.5) | 79 (0.6) | 79 (0.6) | 94 (0.2) | 87(0.5) | |
[7] | TPR | 98 (0.1) | 98 (0.1) | 98 (0.1) | 99 (0.1) | 99 (0.1) | 98 (0.1) |
FPR | 8.3 (1.2) | 3.8 (0.8) | 23 (1.1) | 1.2 (0.4) | 0.3 (0.2) | 20 (1.1) | |
Corr | 84 (0.9) | 89 (0.6) | 63 (0.7) | 94 (0.4) | 96 (0.3) | 70 (0.5) | |
[10] | TPR | 89 (1.5) | 94 (1.2) | 80 (1.2) | 98(1.0) | 99 (0.7) | 96 (0.6) |
FPR | 0.6 (0.1) | 0.6 (0.1) | 0.2 (0.1) | 0.3 (0.1) | 0.3 (0.1) | 0.1 (0.1) | |
Corr | 82 (1.4) | 85 (1.3) | 70 (1.1) | 91 (1.1) | 93 (1.0) | 84 (0.7) | |