Research Article
Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data
Table 3
Simulated result with ϕ equal to 0.8.
| | | T = 50 | T = 100 | T = 500 |
| WLAdaLASSO | Gauge | 0.220 | 0.056 | 0.011 | | Potency | 0.696 | 0.707 | 0.992 | Autometrics (0.05) | Gauge | 0.115 | 0.050 | 0.075 | | Potency | 0.282 | 0.471 | 0.601 | Autometrics (0.01) | Gauge | 0.083 | 0.027 | 0.066 | | Potency | 0.206 | 0.437 | 0.522 | LASSO | Gauge | 0.298 | 0.231 | 0.157 | | Potency | 0.587 | 0.683 | 0.719 | AdaLASSO | Gauge | 0.112 | 0.108 | 0.078 | | Potency | 0.327 | 0.516 | 0.683 | SCAD | Gauge | 0.078 | 0.177 | 0.091 | | Potency | 0.339 | 0.537 | 0.675 | MCP | Gauge | 0.071 | 0.150 | 0.083 | | Potency | 0.291 | 0.528 | 0.680 |
|
|