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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Special Issue “Probability Theory and Stochastic Modeling with Applications”
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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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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Stochastic spatial models [PDF]
SIAM Review, 1999 The author considers a spatial model with the space represented as a grid of sites that can be in one of a finite number of states. The site changes its state with a rate that depends on states of a finite number of sites. Assuming that sites are independent, the behaviour of such models can be studied with the help of mean field ordinary differential ...
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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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A uniform definition of stochastic process calculi [PDF]
, 2012 We introduce a unifying framework to provide the semantics of process algebras, including their quantitative variants useful for modeling quantitative aspects of behaviors.
De Nicola, Rocco +8 more
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Quantum Coarse Graining for Extreme Dimension Reduction in Modeling Stochastic Temporal Dynamics
PRX Quantum, 2021 Stochastic modeling of complex systems plays an essential, yet often computationally intensive, role across the quantitative sciences. Recent advances in quantum information processing have elucidated the potential for quantum simulators to exhibit ...
Thomas J. Elliott
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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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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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Stability results for stochastic delayed recurrent neural networks with discrete and distributed delays [PDF]
, 2018 We present new conditions for asymptotic stability and exponential stability of a class of stochastic recurrent neural networks with discrete and distributed time varying delays.
Mathematical Modeling +6 more
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