RHO-ESTIMATORS REVISITED: GENERAL THEORY AND APPLICATIONS von Baraud, Yannick, Birgé, Lucien

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ROBUST BAYES-LIKE ESTIMATION: RHO-BAYES ESTIMATION von Baraud, Yannick, Birgé, Lucien

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About the non-asymptotic behaviour of Bayes estimators von Birgé, Lucien

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Minimal penalties for Gaussian model selection von BIRGE, Lucien, MASSART, Pascal

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Model selection for density estimation with L2-loss von Birgé, Lucien

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Estimating composite functions by model selection von Baraud, Yannick, Birgé, Lucien

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Discussion of “Hypotheses testing by convex optimization” von Birgé, Lucien

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Model selection via testing: an alternative to (penalized) maximum likelihood estimators von BIRGE, Lucien

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Risk bounds for model selection via penalization von BARRON, A, BIRGE, L, MASSART, P

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Estimating the intensity of a random measure by histogram type estimators von Baraud, Yannick, Birgé, Lucien

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How many bins should be put in a regular histogram von Birgé, Lucien, Rozenholc, Yves

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Minimum Contrast Estimators on Sieves: Exponential Bounds and Rates of Convergence von Birgé, Lucien, Massart, Pascal

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A new lower bound for multiple hypothesis testing von Birge, L.

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Model selection for density estimation with L^sub 2^-loss von Birgé, Lucien

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Model selection for density estimation with $$\mathbb L _2$$-loss von Birgé, Lucien

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A new method for estimation and model selection:ρ-estimation von Baraud, Y., Birgé, L., Sart, M.

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Rates of convergence of rho-estimators for sets of densities satisfying shape constraints von Baraud, Yannick, Birgé, Lucien

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Rho-estimators for shape restricted density estimation von Baraud, Y., Birgé, L.

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Estimation of Unimodal Densities Without Smoothness Assumptions von Birge, Lucien

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Statistical estimation with model selection von Birgé, Lucien

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