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A note on james-stein and bayes empiricl bayes estimators

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Publication:3040294
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DOI10.1080/03610928208828290zbMath0526.62004OpenAlexW1993387955MaRDI QIDQ3040294

Tze Fen Li

Publication date: 1982

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928208828290


zbMATH Keywords

smoothMonte Carlo studyJames-Stein estimatorasymptotically optimalBayes empirical Bayes estimatorsrate of convergence to minimum Bayes risk


Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Empirical decision procedures; empirical Bayes procedures (62C12) Admissibility in statistical decision theory (62C15)


Related Items (max. 100)

A family of admissible minimax estimators of the mean of a multivariate, normal distribution



Cites Work

  • Asymptotic solutions to the two state component compoud decision problem, Bayes versus diffuse priors on proportions
  • Bayes Empirical Bayes
  • A property of Stein's estimator for the mean of a multivariate normal distribution
  • Proper Bayes Minimax Estimators of the Multivariate Normal Mean
  • Some Admissible Empirical Bayes Procedures
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