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Teoriya Veroyatnostei i ee Primeneniya, 2008, Volume 53, Issue 3, Pages 534–556
DOI: https://doi.org/10.4213/tvp2447
(Mi tvp2447)
 

This article is cited in 3 scientific papers (total in 3 papers)

Disorder Problem for Poisson Process in Generalized Bayesian Setting

E. V. Burnaev

Moscow Institute of Physics and Technology
References:
Abstract: This paper deals with the quickest detection of a change of the intensity of the Poisson process. We show that the generalized Bayesian formulation of the quickest detection problem can be reduced to the conditional-extremal optimal stopping problem for a piecewise-deterministic Markov process. The optimal procedure for the disorder problem is obtained and asymptotics of the Bayesian risk function is calculated.
Keywords: disorder, Poisson process, optimal stopping, differential-difference equation, free-boundary problem, continuous-fit condition, smooth-fit condition, Bayesian risk.
Received: 13.08.2007
Revised: 02.02.2008
English version:
Theory of Probability and its Applications, 2009, Volume 53, Issue 3, Pages 500–518
DOI: https://doi.org/10.1137/S0040585X9798378X
Bibliographic databases:
Language: Russian
Citation: E. V. Burnaev, “Disorder Problem for Poisson Process in Generalized Bayesian Setting”, Teor. Veroyatnost. i Primenen., 53:3 (2008), 534–556; Theory Probab. Appl., 53:3 (2009), 500–518
Citation in format AMSBIB
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  • https://www.mathnet.ru/eng/tvp2447
  • https://doi.org/10.4213/tvp2447
  • https://www.mathnet.ru/eng/tvp/v53/i3/p534
  • This publication is cited in the following 3 articles:
    1. Ke Zhou, “The extreme climate event change trend forecast in the Huaihe River Basin, China”, Journal of Water and Climate Change, 2024  crossref
    2. Xuyuan Han, Zhenya Liu, “The optimal time to buy and hold stock in a reversal”, Int. J Fin Econ, 2023  crossref
    3. Hachmi Ben Ameur, Xuyuan Han, Zhenya Liu, Jonathan Peillex, “When did global warming start? A new baseline for carbon budgeting”, Economic Modelling, 116 (2022), 106005  crossref
    Citing articles in Google Scholar: Russian citations, English citations
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