Proposes an adaptive transfer LASSO quantile estimator incorporating source data via penalties, claiming consistency, sparsity, convergence rates, and an algorithm for computation, validated on simulations and protein data.
Adaptive Lasso, transfer Lasso, and beyond: an asymptotic perspective
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Transfert learning and adaptive LASSO quantile
Proposes an adaptive transfer LASSO quantile estimator incorporating source data via penalties, claiming consistency, sparsity, convergence rates, and an algorithm for computation, validated on simulations and protein data.