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Stochastic Processes and their Applications
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Stochastic Processes and their Applications
Article . 2007
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Stochastic Processes and their Applications
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A Bayesian-martingale approach to the general disorder problem

Authors: KAVTARADZE T; LAZIERZA N; MANIA M; MULIERE, PIETRO;

A Bayesian-martingale approach to the general disorder problem

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Italy
Keywords

Statistics and Probability, Applied Mathematics, value process, Value process, Martingales with continuous parameter, Optimal stopping in statistics, reflecting backward equation, Poisson process, Reflecting backward equation, Disorder problem; Change point; Bayesian martingale approach, Wiener process, Disorder problem, Stochastic partial differential equations (aspects of stochastic analysis), optimal stopping, Modelling and Simulation, Change-point, Optimal stopping, Bayesian-martingale approach, change-point, disorder problem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
hybrid