Results 31 to 40 of about 10,348 (206)
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
openaire +3 more sources
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
core +2 more sources
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
doaj +1 more source
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
Biometrics, 2015 We develop maximum likelihood methods for line transect surveys in which animals go undetected at distance zero, either because they are stochastically unavailable while within view or because they are missed when they are available.
David L Borchers, Roland Langrock
semanticscholar +1 more source
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
doaj +1 more source
A Markov Decision Process Approach to Dynamic Power Management in a Cluster System
IEEE Access, 2015 Dynamic power management (DPM) plays a significant role to save power consumption effectively in both the design and operational phases of computer-based systems.
Hiroyuki Okamura +2 more
doaj +1 more source
Journal of Probability and Statistics, 2019 This paper presents analytically explicit results for the distribution of the number of customers served during a busy period for special cases of the M/G/1 queues when initiated with m customers.
M. L. Chaudhry, Veena Goswami
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
core +1 more source
Advanced Science, EarlyView.Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng +11 more
wiley +1 more source