Research Article
Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data
Table 2
Simulated result with ϕ equal to 0.5.
| | | T = 50 | T = 100 | T = 500 |
| WLAdaLASSO | Gauge | 0.210 | 0.055 | 0.013 | | Potency | 0.649 | 0.830 | 0.997 | Autometrics (0.05) | Gauge | 0.065 | 0.042 | 0.033 | | Potency | 0.280 | 0.407 | 0.807 | Autometrics (0.01) | Gauge | 0.034 | 0.018 | 0.025 | | Potency | 0.243 | 0.306 | 0.704 | LASSO | Gauge | 0.510 | 0.199 | 0.125 | | Potency | 0.692 | 0.660 | 0.717 | AdaLASSO | Gauge | 0.251 | 0.097 | 0.076 | | Potency | 0.460 | 0.520 | 0.691 | SCAD | Gauge | 0.210 | 0.175 | 0.093 | | Potency | 0.351 | 0.581 | 0.699 | MCP | Gauge | 0.221 | 0.148 | 0.079 | | Potency | 0.350 | 0.556 | 0.691 |
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