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Empirical Bayesian Learning

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2 Author(s)
Cunningham, David R. ; Department of Electrical Engineering, University of Missouri, Rolla, Mo. 65401. ; Breipohl, A.M.

It is shown that a certain weighted average of the prior distribution and the empirical distribution yields an estimate of the posterior distribution that is consistent with Bayes' theorem. A comparison of this approach and conventional parametric Bayesian estimation is made for some specific cases.

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:SMC-1 ,  Issue: 1 )