Results 21 to 30 of about 1,619 (185)
Markov-modulated marked Poisson processes for modeling disease dynamics based on medical claims data
, 2023 Mews S, Surmann B, Hasemann L, Elkenkamp S. Markov-modulated marked Poisson processes for modeling disease dynamics based on medical claims data. Statistics in Medicine . 2023;42(21):3804-3815.We explore Markov-modulated marked Poisson processes (MMMPPs)
Elkenkamp, Svenja +3 more
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Journal of Telecommunications and Information Technology, 2013 The problem of overload control in Session Initiation Protocol (SIP) signaling networks gives rise to many questions which attract researchers from theoretical and practical point of view.
Pavel Abaev +2 more
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Dynamic Analysis of a Unified Multivariate Counting Process and Its Asymptotic Behavior
International Journal of Mathematics and Mathematical Sciences, 2009 The class of counting processes constitutes a significant part of applied probability. The classic counting processes include Poisson processes, nonhomogeneous Poisson processes, and renewal processes.
Ushio Sumita, Jia-Ping Huang
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First passage processes in Queuing system MX/Gr/1 with service delay discipline
International Journal of Mathematics and Mathematical Sciences, 1994 This article deals with a general single-server bulk queueing system with a server waiting until the queue will reach level r before it starts processing customers.
Lev Abolnikov +2 more
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Discrete-Time Expectation Maximization Algorithms for Markov-Modulated Poisson Processes [PDF]
IEEE Transactions on Automatic Control, 2008 In this paper, we consider parameter estimation Markov-modulated Poisson processes via robust filtering and smoothing techniques. Using the expectation maximization algorithm framework, our filters and smoothers can be applied to estimate the parameters of ourmodel in either an online configuration or an offline configuration.
Robert J. Elliott, W. Paul Malcolm
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Analysis of Queueing System MMPP/M/K/K with Delayed Feedback
Mathematics, 2019 The model of multi-channel queuing system with Markov modulated Poisson process (MMPP) flow and delayed feedback is considered. After the customer is served completely, they will decide either to join the retrial group again for another service (feedback)
Agassi Melikov +2 more
doaj +1 more source
A coupled hidden Markov model for disease interactions [PDF]
, 2012 To investigate interactions between parasite species in a host, a population of field voles was studied longitudinally, with presence or absence of six different parasites measured repeatedly.
Telfer, S.E. +11 more
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Stochastic evolutionary system with Markov-modulated Poisson perturbations in the averaging schema
Математичні СтудіїThis paper discusses the asymptotic behavior of the stochastic evolutionary system under the Markov-modulated Poisson perturbations in an averaging schema.
S. A. Semenyuk, Ya. M. Chabanyuk
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, 2021 The Markov-modulated Poisson process is utilised for count modelling in a variety of areas such as queueing, reliability, network and insurance claims analysis.
Taylor, G, Xian, A, Wong, B, Avanzi, B
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Parsimonious modelling of winter season rainfall incorporating reanalysis climatological data
Hydrology Research, 2018 Several Markov modulated Poisson process (MMPP) models are developed to describe winter season rainfall with parsimonious parameter use. We propose a methodology for determining the best form of seasonal model for fine-scale rainfall within a MMPP ...
Andrew P. Garthwaite, N. I. Ramesh
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