M. Gürcan

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

In multivariate statistical analysis, accurate modeling of the covariance structure is critical for high-dimensional data analysis, variable selection, and regularization. In high-dimensional settings, strong inter-variable correlation and redundancy are key factors limiting the performance of classical sparsity-based...