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B Droge T Georg
A Carbonez L Gyorfi E C van der Meulen
19 other sections not shown
absolutely continuous analysis applied approximation assume assumptions asymptotic efficiency Bayes estimator Bayes tests Bayesian bias bounded censoring compact consider constant convex Csorgo Decisions 13 defined denote density Department of Mathematics Department of Statistics distribution band distribution function entropy exponential family Fisher information frequentist Gaussian Germany Prof Ghosh given Hence implies inequality integrable kernel Lemma linear LINEX LINEX loss LINEX-unbiased estimator location parameter loss function M-estimators Math measure minimax MM-estimators nonparametric observations obtain Oldenbourg Verlag optimal order statistics paper polynomial populations prior probability problem procedure proof of Theorem Proposition quantile random variables regression function respect result risk function robustness S-estimators sample satisfying Section sequence sequential solution spectral squared error loss Statistics & Decisions stochastic stopping rule Theorem 3.1 theory U.S.A. Prof uniformly integrable Univ Universitat University values variance weak topology Wiener process