Reza Drikvandi

Group Regression With Tailored Penalties for High‐Dimensional Data With or Without Predefined Groups

In high‐dimensional regression, covariates often have a natural grouping structure, and it is crucial to perform analyses at the group level rather than the individual covariate level. Group regression is an effective approach for leveraging inherent grouping structures among covariates, enhancing interpretability, and...