Abstract
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. Acomparison of this approach and conventional parametric Bayesian estimation is made for some specific cases. Copyright © 1971 by The Institute of Electrical and Electronics Engineers, Inc.
Recommended Citation
D. R. Cunningham and A. M. Breipohl, "Empirical Bayesian Learning," IEEE Transactions on Systems, Man and Cybernetics, vol. SMC thru 1, no. 1, pp. 19 - 23, Institute of Electrical and Electronics Engineers, Jan 1971.
The definitive version is available at https://doi.org/10.1109/TSMC.1971.5408600
Department(s)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
2168-2909; 0018-9472
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Institute of Electrical and Electonics Engineers, All rights reserved.
Publication Date
01 Jan 1971
