An application of prophet regions to optimal stopping with a random number of observations
Let X 1 ,X 2 , ... be any sequence of nonnegative integrable random variables, and let N∈{1,2 , ...} be a random variable with known distribution, independent of X 1 ,X 2 , ... The optimal stopping value sup t E(X t I(N≥ t)) is considered for two players: one who has advance knowledge of the value o...
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Published in | Optimization Vol. 53; no. 4; pp. 331 - 338 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Philadelphia
Taylor & Francis Group
01.08.2004
Taylor & Francis LLC |
Subjects | |
Online Access | Get full text |
ISSN | 0233-1934 1029-4945 |
DOI | 10.1080/02331930410001716829 |
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Abstract | Let X
1
,X
2
, ... be any sequence of nonnegative integrable random variables, and let N∈{1,2 , ...} be a random variable with known distribution, independent of X
1
,X
2
, ... The optimal stopping value sup
t
E(X
t
I(N≥ t)) is considered for two players: one who has advance knowledge of the value of N, and another who does not. Sharp ratio and difference inequalities relating the two players' optimal values are given in a number of settings. The key to the proofs is an application of a prophet region for arbitrarily dependent random variables by Hill and Kertz [T.P. Hill and R.P. Kertz (1983). Stop rule inequalities for uniformly bounded sequences of random variables. Trans. Amer. Math. Soc., 278, 197-207]. |
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AbstractList | Let X
1
,X
2
, ... be any sequence of nonnegative integrable random variables, and let N∈{1,2 , ...} be a random variable with known distribution, independent of X
1
,X
2
, ... The optimal stopping value sup
t
E(X
t
I(N≥ t)) is considered for two players: one who has advance knowledge of the value of N, and another who does not. Sharp ratio and difference inequalities relating the two players' optimal values are given in a number of settings. The key to the proofs is an application of a prophet region for arbitrarily dependent random variables by Hill and Kertz [T.P. Hill and R.P. Kertz (1983). Stop rule inequalities for uniformly bounded sequences of random variables. Trans. Amer. Math. Soc., 278, 197-207]. Let X1, X2,... be any sequence of nonnegative integrable random variables, and let N epsilon {1, 2,...} be a random variable with known distribution, independent of X1, X2,... The optimal stopping value sup, E(X1I(N greater than or equal to t)) is considered for two players: one who has advance knowledge of the value of N, and another who does not. Sharp ration and difference inequalities relating the two players' optimal values are given in a number of settings. The key to the proofs is an application of a prophet region for arbitrarily dependent random variables by Hill and Kertz (1983). Stop rule inequalities for uniformly bounded sequences of random variables. |
Author | Allaart, Pieter C. |
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Cites_doi | 10.1214/aop/1176992175 10.1214/aos/1024691094 10.2307/3212720 10.1081/SQA-120025030 10.1090/conm/125/1160620 10.1214/aop/1176993237 10.1081/SQA-120022089 10.1007/BF00535745 10.1007/BF00538887 10.1214/aop/1176990548 10.1137/1117078 10.1007/978-3-322-84825-3 10.1090/S0002-9947-1983-0697070-7 |
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References | Hill TP (bib9) 1992; 125 Krengel U (bib11) 1978 bib14 bib12 bib13 bib10 Schmitz N (bib15) 2000 bib7 bib8 bib5 bib3 bib4 bib1 bib2 Harten F (bib6) 1997 |
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Snippet | Let X
1
,X
2
, ... be any sequence of nonnegative integrable random variables, and let N∈{1,2 , ...} be a random variable with known distribution, independent... Let X1, X2,... be any sequence of nonnegative integrable random variables, and let N epsilon {1, 2,...} be a random variable with known distribution,... |
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StartPage | 331 |
SubjectTerms | AMS 2000 Subject Classifications: 60G40 Game theory Mathematical models Optimal stopping Optimization Prophet inequality Random horizon Random variables Studies |
Title | An application of prophet regions to optimal stopping with a random number of observations |
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