Abstract
The present paper deals with the so-called “empirical Bayes approach” proposed and studied by Herbert Robbins. His papers, especially paper [3], have inspired us to show the notion of “empirical Bayes approach” fits into the framework of game theory by means of simple operations on games. We show it by examples of testing two simple statistical hypotheses (Example 5; the original version of this example was presented by H. Robbins in [3]). At the end we prove some easy lemmas concerning the relations between Bayes, minimax and limit solutions.
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References
Kuratowski, K.: Topologie 1, Monografie Matematyczne 1958.
Robbins, H.: An empirical Bayes approach to statistics. Proc. Third Berkeley Symp. Math. Stat. Probab. I, 157 (1956).
Robbins, H.: The empirical Bayes approach to testing statistical hypotheses. Rev. Int. Stat. Inst. 31, 195 (1963).
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© 1965 Springer-Verlag Berlin Heidelberg
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Łoś, J. (1965). Limit Solutions of Sequences of Statistical Games. In: Neyman, J., Le Cam, L.M. (eds) Bernoulli 1713, Bayes 1763, Laplace 1813. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-49749-0_11
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DOI: https://doi.org/10.1007/978-3-642-49749-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-49466-6
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