Estimation of the l2-norm and testing in sparse linear regression with unknown variance
Abstract
We consider the related problems of estimating the l2-norm and the squared l2-norm in sparse linear regression with unknown variance, as well as the problem of testing the hypothesis that the regression parameter is null under sparse alternatives with l2 separation. We establish the minimax optimal rates of estimation (respectively, testing) in these three problems.
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