Stopping Times
A Stopping Time is a random variable that represents a specific instance at which a stochastic process is observed to satisfy a given condition, with the property that the decision to stop by a certain time depends only on the information available up to that time and not on future developments.
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2017–2026
79
841
Procedures for Reacting to a Change in Distribution
G. Lorden · The Annals of Mathematical Statistics · 1971 · 1.4K citations · Full text
Great Expectations: The Theory of Optimal Stopping.
Michael Orkin, Y. S. Chow, Herbert Robbins et al. · Journal of the American Statistical Association · 1975 · 713 citations
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Columbia University
New York, United States
16 h-index
35 publications
1.3K citations
Université Paris Cité
Paris, France
13 h-index
16 publications
739 citations
Binghamton University
Binghamton, United States
12 h-index
12 publications
347 citations
London School of Economics and Political Science
London, United Kingdom
11 h-index
14 publications
283 citations
University of California, Berkeley
Berkeley, United States
10 h-index
16 publications
785 citations
Hebrew University of Jerusalem
Jerusalem, Israel
10 h-index
11 publications
231 citations
Stanford University
Stanford, United States
10 h-index
14 publications
291 citations

Johannes Kepler University of Linz
Linz, Austria
10 h-index
15 publications
533 citations
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60 publications · 3.6K citations
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JAP · 53 publications · 1.3K citations
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