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An empirical Bayes approach to adaptive control

✍ Scribed by Nurul Ula; M. Kim

Publisher
Elsevier Science
Year
1965
Tongue
English
Weight
831 KB
Volume
280
Category
Article
ISSN
0016-0032

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✦ Synopsis

An approach to stochastic control with unknown signal parameter is studied. No a priori distribution of the parameter is assumed, although an a priori probability is considered to exist. It is shown that the observations on the signal in the course of the process may be used to obtain an "Asymptotic Optimal" empirical Bayes rule which will be close to the optimal Bayes rule obtainable when the a priori distribution is known beforehand.

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