Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data

Key Points

• Optimized estimation improves accuracy for high-dimensional datasets and subsamples, enhancing predictive modeling.
• Key evidence includes a reduction in estimation error metrics, supporting the approach's effectiveness.
• Cross-validation techniques refine estimation methods within high-dimensional spaces across various datasets.
• Highlights the need for improved estimations, especially in high-dimensional statistical modeling.