M. Gürcan

Correlation-Sensitive Adaptive LASSO for High-Dimensional Data: A Redundancy-Aware Regularization Approach

Overall, CDA-LASSO directly incorporates the internal correlation structure of the data into the penalty weights without requiring a predefined graphical structure and provides a practical methodological extension for more controlled and parsimonious variable selection in high-dimensional correlated settings.