A two-disorder detection problem

Krzysztof Szajowski

Applicationes Mathematicae (1997)

  • Volume: 24, Issue: 2, page 231-241
  • ISSN: 1233-7234

Abstract

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Suppose that the process X = { X n , n } is observed sequentially. There are two random moments of time θ 1 and θ 2 , independent of X, and X is a Markov process given θ 1 and θ 2 . The transition probabilities of X change for the first time at time θ 1 and for the second time at time θ 2 . Our objective is to find a strategy which immediately detects the distribution changes with maximal probability based on observation of X. The corresponding problem of double optimal stopping is constructed. The optimal strategy is found and the corresponding maximal probability is calculated.

How to cite

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Szajowski, Krzysztof. "A two-disorder detection problem." Applicationes Mathematicae 24.2 (1997): 231-241. <http://eudml.org/doc/219165>.

@article{Szajowski1997,
abstract = {Suppose that the process $X=\lbrace X_n,n\in \mathbb \{N\}\rbrace $ is observed sequentially. There are two random moments of time $θ_1$ and $θ_2$, independent of X, and X is a Markov process given $θ_1$ and $θ_2$. The transition probabilities of X change for the first time at time $θ_1$ and for the second time at time $θ_2$. Our objective is to find a strategy which immediately detects the distribution changes with maximal probability based on observation of X. The corresponding problem of double optimal stopping is constructed. The optimal strategy is found and the corresponding maximal probability is calculated.},
author = {Szajowski, Krzysztof},
journal = {Applicationes Mathematicae},
keywords = {multiple optimal stopping; disorder problem; sequential detection},
language = {eng},
number = {2},
pages = {231-241},
title = {A two-disorder detection problem},
url = {http://eudml.org/doc/219165},
volume = {24},
year = {1997},
}

TY - JOUR
AU - Szajowski, Krzysztof
TI - A two-disorder detection problem
JO - Applicationes Mathematicae
PY - 1997
VL - 24
IS - 2
SP - 231
EP - 241
AB - Suppose that the process $X=\lbrace X_n,n\in \mathbb {N}\rbrace $ is observed sequentially. There are two random moments of time $θ_1$ and $θ_2$, independent of X, and X is a Markov process given $θ_1$ and $θ_2$. The transition probabilities of X change for the first time at time $θ_1$ and for the second time at time $θ_2$. Our objective is to find a strategy which immediately detects the distribution changes with maximal probability based on observation of X. The corresponding problem of double optimal stopping is constructed. The optimal strategy is found and the corresponding maximal probability is calculated.
LA - eng
KW - multiple optimal stopping; disorder problem; sequential detection
UR - http://eudml.org/doc/219165
ER -

References

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  1. T. Bojdecki (1979), Probability maximizing approach to optimal stopping and its application to a disorder problem, Stochastics 3, 61-71. Zbl0432.60051
  2. T. Bojdecki (1982), Probability maximizing method in problems of sequential analysis, Mat. Stos. 21, 5-37 (in Polish). Zbl0524.60046
  3. Y. Chow, H. Robbins and D. Siegmund (1971), Great Expectations: The Theory of Optimal Stopping, Houghton Mifflin, Boston. Zbl0233.60044
  4. G. Haggstrom (1967), Optimal sequential procedures when more than one stop is required, Ann. Math. Statist. 38, 1618-1626. Zbl0189.18301
  5. M. Nikolaev (1979), Generalized sequential procedures, Lit. Mat. Sb. 19, 35-44 (in Russian). Zbl0409.60040
  6. M. Nikolaev (1981), On an optimality criterion for a generalized sequential procedure, ibid. 21, 75-82 (in Russian). 
  7. A. Shiryaev (1978), Optimal Stopping Rules, Springer, New York. Zbl0391.60002
  8. K. Szajowski (1992), Optimal on-line detection of outside observations, J. Statist. Plann. Inference 30, 413-422. Zbl0752.60034
  9. M. Yoshida (1983), Probability maximizing approach for a quickest detection problem with complicated Markov chain, J. Inform. Optim. Sci. 4, 127-145. Zbl0511.60041

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