Results 41 to 50 of about 146,110 (315)

Bounds of the stationary distribution in M/G/1 retrial queue with two-way communication and n types of outgoing calls [PDF]

open access: yesYugoslav Journal of Operations Research, 2019
In this article we analyze the M=G=1 retrial queue with two-way communication and n types of outgoing calls from a stochastic comparison viewpoint. The main idea is that given a complex Markov chain that cannot be analyzed numerically, we propose to ...
Alem Lala Maghnia   +2 more
doaj   +1 more source

Markov Chain Ontology Analysis (MCOA)

open access: yesBMC Bioinformatics, 2012
Background Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research.
Frost H, McCray Alexa T
doaj   +1 more source

Probabilistic Markov chain modelling of photonic crystal surface emitting lasers [PDF]

open access: yes, 2023
Probabilistic Markov chain modeling of photonic crystal surface emitting lasers (PCSELs) is reported. This simulation links the scattering parameters of the photonic crystal (PC) and device level losses of the PCSEL.
Liu, Jingzhao   +4 more
core   +1 more source

Variance and Covariance of Several Simultaneous Outputs of a Markov Chain [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2016
The partial sum of the states of a Markov chain or more generally a Markov source is asymptotically normally distributed under suitable conditions. One of these conditions is that the variance is unbounded.
Sara Kropf
doaj   +1 more source

Singles in a Markov chain

open access: yesPublications de l'Institut Mathematique, 2008
Let {Xi, i _? 1} denote a sequence of variables that take values in {0, 1} and suppose that the sequence forms a Markov chain with transition matrix P and with initial distribution (q, p) = (P(X1 = 0), P(X1 = 1)). Several authors have studied the quantities Sn, Y (r) and AR(n), where Sn = ?n i=1 Xi denotes the number of successes, where Y (r) denotes ...
Omey, Edward, Van Gulck, Stefan
openaire   +4 more sources

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Conditioning an additive functional of a markov chain to stay non-negative. I, Survival for a long time [PDF]

open access: yes, 2005
Let (X-t)(t >= 0) be a continuous-time irreducible Markov chain on a finite state space E, let v be a map v: E -> R \ {0}, and let (phi(t))(t >= 0) be an additive functional defined by phi(t) = integral(0)(t)(X-s) ds.
Warren, Jon   +2 more
core   +1 more source

Succession-diagram-based Markov chains reveal the attractor landscape of asynchronous Boolean networks

open access: yesnpj Systems Biology and Applications
Comprehensive analysis of the dynamics of Boolean models of biological systems is hampered by the exponentially large state space. Here we introduce the succession-diagram-based Markov chain (SD Markov chain), a coarse-grained representation that uses ...
Kyu Hyong Park, Réka Albert
doaj   +1 more source

The importance Markov chain

open access: yesStochastic Processes and their Applications
The Importance Markov chain is a novel algorithm bridging the gap between rejection sampling and importance sampling, moving from one to the other through a tuning parameter. Based on a modified sample of an instrumental Markov chain targeting an instrumental distribution (typically via a MCMC kernel), the Importance Markov chain produces an extended ...
Andral, Charly   +3 more
openaire   +4 more sources

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

open access: yesAdvanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno   +16 more
wiley   +1 more source

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