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Special Issue “Probability Theory and Stochastic Modeling with Applications” [PDF]
Mathematics, 2023 This Special Issue (SI), titled “Probability Theory and Stochastic Modeling with Applications”, is concerned with the theory and applications of stochastic models [...]
Francisco Germán Badía +1 more
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Stochastic models of kleptoparasitism [PDF]
Journal of Theoretical Biology, 2007 In this paper, we consider a model of kleptoparasitism amongst a small group of individuals, where the state of the population is described by the distribution of its individuals over three specific types of behaviour (handling, searching for or fighting over, food). The model used is based upon earlier work which considered an equivalent deterministic
Yates, G. E., Broom, M.
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Purposeful empiricism: how stochastic modeling informs industrial marketing research [PDF]
, 2013 It is increasingly recognized that progress can be made in the development of integrated theory for understanding, explaining and better predicting key aspects of buyer–seller relationships and industrial networks by drawing upon non-traditional research
Dacko, Scott G. +2 more
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Stochastic spatial models [PDF]
SIAM Review, 1999 In the models we will consider, space is represented by a grid of sites that can be in one of a finite number of states and that change at rates that depend on the states of a finite number of sites. Our main aim here is to explain an idea of Durrett and Levin (1994): the behavior of these models can be predicted from the properties of the mean field ...
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Stochastic Modeling of Soft Magnetic Properties of Electrical Steels: Application to Stators of Electrical Machines [PDF]
, 2012 La version éditeur de cet article est disponible à l'adresse suivante : 10.1109/TMAG.2012.2201734To take account of the uncertainties introduced on the soft magnetic materials properties (magnetic behavior law, iron losses) during the manufacturing ...
RAMAROTAFIKA, Rindra +2 more
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Stochastic resonance in electrical circuits—II: Nonconventional stochastic resonance. [PDF]
, 1999 Stochastic resonance (SR), in which a periodic signal in a nonlinear system can be amplified by added noise, is discussed. The application of circuit modeling techniques to the conventional form of SR, which occurs in static bistable potentials, was ...
Luchinsky, D. G. +7 more
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Extending algebraic modelling languages for Stochastic Programming [PDF]
, 2003 Extending algebraic modelling languages for Stochastic ...
Mitra, G, Sadki, M, Valente, P
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The Annals of Probability, 1999 We study an ordinary differential equation controlled by a stochastic process. We present results on existence and uniqueness of solutions, on associated local times (Trotter and Ray-Knight theorems), and on time and direction of bifurcation. A relationship with Lipschitz approximations to Brownian paths is also discussed.
Burdzy, Krzysztof, Bass, Richard F.
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StochPy: a comprehensive, user-friendly tool for simulating stochastic biological processes. [PDF]
PLoS ONE, 2013 Single-cell and single-molecule measurements indicate the importance of stochastic phenomena in cell biology. Stochasticity creates spontaneous differences in the copy numbers of key macromolecules and the timing of reaction events between genetically ...
Timo R Maarleveld +2 more
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Efficient simulation of stochastic chemical kinetics with the Stochastic Bulirsch-Stoer extrapolation method [PDF]
, 2014 BackgroundBiochemical systems with relatively low numbers of components must be simulated stochastically in order to capture their inherent noise. Although there has recently been considerable work on discrete stochastic solvers, there is still a need ...
Barrio Solórzano, Manuel +11 more
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