A sequential estimation problem with control and discretionary stopping

Author:

Ekström Erik1,Karatzas Ioannis2

Affiliation:

1. Department of Mathematics, Uppsala University, Box 256, 75105 Uppsala, Sweden

2. Departments of Mathematics and Statistics, Columbia University, 2990 Broadway, New York, NY 10027, USA

Abstract

<p style='text-indent:20px;'>We show that “full-bang” control is optimal in a problem which combines features of (i) sequential least-squares <i>estimation</i> with Bayesian updating, for a random quantity observed in a bath of white noise; (ii) bounded <i>control</i> of the rate at which observations are received, with a superquadratic cost per unit time; and (iii) “fast” discretionary <i>stopping</i>. We develop also the optimal filtering and stopping rules in this context.</p>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

General Medicine

Reference24 articles.

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2. Chung, K. L., A Course in Probability Theory, Second Edition, Probability and Mathematical Statistics: A Series of Monographs and Textbooks, vol. 21. Academic Press, New York, 1974.

3. Dalang, R. C. and Shiryaev, A. N., A quickest detection problem with observation cost, Ann. Appl. Probab., 2015, 25(3): 1475−1512.

4. Davis, M. H. A. and Zervos, M., A problem of singular stochastic control with discretionary stopping, Ann. Appl. Probab., 1994, 4(1): 226−240.

5. Dubins, L. E. and Savage, L. J., How to Gamble if You Must: Inequalities for Stochastic Processes, McGraw-Hill Publishing Co., NY. Re-issued in 2014, edited and updated by W. D. Sudderth and D. Gilat, as a Dover Publication, Mineola, NY, 1965.

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