We review recent results for high-dimensional sparse linear regression in the practical case of unknown variance. Different sparsity settings are covered, including coordinate-sparsity, group-sparsity ...
This is a preview. Log in through your library . Abstract Estimating the residual variance is an important question in nonparametric regression. Among the existing estimators, the optimal ...
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