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math.ST2020★ 3 cited
On regularization methods based on Rényi's pseudodistances for sparse high-dimensional linear regression models
Elena Castilla, Abhik Ghosh, María Jaenada +1
Several regularization methods have been considered over the last decade for sparse high-dimensional linear regression models, but the most common ones use the least square (quadra…
stat.ME2020★ 2 cited
Robust adaptive variable selection in ultra-high dimensional linear regression models
Abhik Ghosh, Maria Jaenada, Leandro Pardo
We consider the problem of simultaneous variable selection and estimation of the corresponding regression coefficients in an ultra-high dimensional linear regression models, an ext…