ADAPTIVE TESTS OF LINEAR HYPOTHESES BY MODEL SELECTION

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Minimax adaptive tests for the Functional Linear model (2012, methodology): “Minimax adaptive testing procedures have already been studied in the nonparametric regression setting, from an asymptotic [33] and a nonasymptotic [3] viewpoint.”
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons (2010, unknown): “If the multiple testing procedure of [7] can be analyzed for k[1 + log(p/k)] larger than n, it exhibits a much slower rate of testing in this case.”
Testing convex hypotheses on the mean of a Gaussian vector. Application to testing qualitative hypotheses on a regression function (2005, unknown): “procedure generalizes that proposed in Baraud, Huet and Laurent (2003a) for linear hypotheses.”
Minimax Testing of a Composite null Hypothesis Defined via a Quadratic Functional in the Model of regression (2012, unknown): “More recently, the nonasymptotic approach to the minimax testing gained popularity (Baraud et al., 2003, 2005, Laurent et al., 2011, 2012).”