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Bayes and Minimax Solutions of Sequential Decision Problems

K. J. Arrow, D. Blackwell and M. A. Girshick
Econometrica
Vol. 17, No. 3/4 (Jul. - Oct., 1949), pp. 213-244
Published by: The Econometric Society
DOI: 10.2307/1905525
Stable URL: http://www.jstor.org/stable/1905525
Page Count: 32
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Bayes and Minimax Solutions of Sequential Decision Problems
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Abstract

The present paper deals with the general problem of sequential choice among several actions, where at each stage the options available are to stop and take a definite action or to continue sampling for more information. There are costs attached to taking inappropriate action and to sampling. A characterization of the optimum solution is obtained first under very general assumptions as to the distribution of the successive observations and the costs of sampling; then moredetailed results are given for the case where the alternative actions are finitein number, the observations are drawn under conditions of random sampling, and the cost depends only on the number of observations. Explicit solutions are given for the case of two actions, random sampling, and linear cost functions.

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