Minimum Message Length Shrinkage Estimation

نویسندگان

  • Enes Makalic
  • Daniel F. Schmidt
چکیده

This note considers estimation of the mean of a multivariate Gaussian distribution with known variance within the Minimum Message Length (MML) framework. Interestingly, the resulting MML estimator exactly coincides with the positive-part JamesStein estimator under the choice of an uninformative prior. A new approach for estimating parameters and hyperparameters in general hierarchical Bayes models is also presented.

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تاریخ انتشار 2008