On optimal stopping rules

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book 01 Jan 1963 English Publisher:Springer Science and Business Media LLCJournal:Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete, volume 2, pages 33-49 (issn: 0044-3719, eissn: 1432-2064,

Copyright policy )

Authors: Chow, Y. S.; Robbins, H.;

doi: 10.1007/bf00535296 , 10.1007/978-1-4612-5110-1_39

On optimal stopping rules

- Summary
- Subjects
- Metrics

Abstract

Let y 1,y 2, … be a sequence of random variables with a given joint distribution. Assume that we can observe the y’s sequentially but that we must stop some time, and that if we stop with yn we will receive a payoff x n = f n(y 1, …, y n). What stopping rule will maximize the expected value of the payoff?

Related Organizations

Columbia University
United States
King’s University
United States

Keywords

statistics

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	73
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%