Adaptive tests of qualitative hypotheses
Yannick Baraud, Sylvie Huet, Béatrice Laurent (2003)
ESAIM: Probability and Statistics
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We propose a test of a qualitative hypothesis on the mean of a -gaussian vector. The testing procedure is available when the variance of the observations is unknown and does not depend on any prior information on the alternative. The properties of the test are non-asymptotic. For testing positivity or monotonicity, we establish separation rates with respect to the euclidean distance, over subsets of which are related to Hölderian balls in functional spaces. We provide a simulation...