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Sequential Analysis
Design Methods and Applications
Volume 27, 2008 - Issue 1
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Original Articles

Bayesian Detection of Changes of a Poisson Process Monitored at Discrete Time Points Where the Arrival Rates are Unknown

Pages 68-77 | Received 05 Jul 2005, Accepted 06 Nov 2007, Published online: 04 Feb 2008

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Read on this site (5)

Marlo Brown. (2016) Detecting changes in a Poisson process monitored at random time intervals. Sequential Analysis 35:3, pages 358-369.
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Marianne Frisén & Eva Andersson. (2009) Semiparametric Surveillance of Monotonic Changes. Sequential Analysis 28:4, pages 434-454.
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Marlo Brown. (2009) Detecting Changes in a Poisson Process Monitored at Unequal Discrete Time Intervals. Communications in Statistics - Theory and Methods 38:16-17, pages 2721-2732.
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Articles from other publishers (4)

Cagin Uru, Savas Dayanik & Semih O. Sezer. (2023) Compound Poisson disorder problem with uniformly distributed disorder time. Bernoulli 29:3.
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Lucien Bacharach, Mohammed Nabil El Korso, Alexandre Renaux & Jean-Yves Tourneret. (2017) A Bayesian lower bound for parameter estimation of Poisson data including multiple changes. A Bayesian lower bound for parameter estimation of Poisson data including multiple changes.
Liangyou ChenAndrew T. ReisnerXiaoxiao ChenAndrei GribokJaques Reifman. (2012) Are Standard Diagnostic Test Characteristics Sufficient for the Assessment of Continual Patient Monitoring?. Medical Decision Making 33:2, pages 225-234.
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Savas Dayanik. (2010) Wiener Disorder Problem with Observations at Fixed Discrete Time Epochs. Mathematics of Operations Research 35:4, pages 756-785.
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