Research Article
Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data
Table 1
Simulated result with ϕ equal to 0.1.
| | | T = 50 | T = 100 | T = 500 |
| WLAdaLASSO | Gauge | 0.268 | 0.055 | 0.014 | | Potency | 0.636 | 0.708 | 0.954 | Autometrics (0.05) | Gauge | 0.069 | 0.037 | 0.009 | | Potency | 0.256 | 0.375 | 0.960 | Autometrics (0.01) | Gauge | 0.028 | 0.016 | 0.001 | | Potency | 0.161 | 0.257 | 0.892 | LASSO | Gauge | 0.465 | 0.186 | 0.134 | | Potency | 0.619 | 0.612 | 0.713 | AdaLASSO | Gauge | 0.197 | 0.092 | 0.080 | | Potency | 0.389 | 0.523 | 0.681 | SCAD | Gauge | 0.176 | 0.174 | 0.098 | | Potency | 0.380 | 0.584 | 0.700 | MCP | Gauge | 0.178 | 0.155 | 0.083 | | Potency | 0.360 | 0.553 | 0.694 |
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