The asymptotic minimax risk for the estimation of constrained binomial and multinomial probabilities Dietrich Braess Ruhr-Universit¨at Bochum Fakult¨at f¨ ur Mathematik - Hájek–Le Cam convolution theorem - Document - PDFSEARCH.IO

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	The asymptotic minimax risk for the estimation of constrained binomial and multinomial probabilities Dietrich Braess Ruhr-Universit¨at Bochum Fakult¨at f¨ ur Mathematik Add to Reading List Document Date: 2004-07-22 07:34:56 Open Document File Size: 165,07 KB Share Result on Facebook City Bochum / / Company Bernstein / / Currency pence / / / / IndustryTerm probability law / by-product / / Person Dietrich Braess / Holger Dette / / SocialTag Decision theory Bayes estimator Loss function Minimax estimator Bias of an estimator Kullback–Leibler divergence Minimax Estimator Hájek–Le Cam convolution theorem Statistics

The asymptotic minimax risk for the estimation of constrained binomial and multinomial probabilities Dietrich Braess Ruhr-Universit¨at Bochum Fakult¨at f¨ ur MathematikAdd to Reading List