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Markov processes and linear evolution equations ; stochastic control, differential games, and nonlin...
This unified treatment of linear and nonlinear filtering theory presents material previously availab...
Mean field has been introduced by physicists to study systems of interacting objects. For example, t...
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The consideration of quantitative data is often required to perform research in both the physical an...
An Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the ba...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
Introduction to stochastic processes and their applications, and methods for numerical simulation, f...
Although we do not intend to give a general, formal definition, the stochastic mean-field dynamics w...
The aim of this special issue is to publish original research papers that cover recent advances in t...
Thesis (Ph.D.)--University of Washington, 2018Stochastic dynamical systems, as a rapidly growing are...
We consider two mathematical models in evolutionary dynamics. The first model is an extension of an ...
International audienceSpecial Issue of the journal "Markov Processes and Related Fields" containing ...
This article describes a new approach to the problem of nonlinear systems development in terms of si...
We study stochastic particle systems on a complete graph and derive effective mean-field rate equati...
Markov processes and linear evolution equations ; stochastic control, differential games, and nonlin...
This unified treatment of linear and nonlinear filtering theory presents material previously availab...
Mean field has been introduced by physicists to study systems of interacting objects. For example, t...
This article develops a modeling framework that allows a formal description of evolutionary processe...
The consideration of quantitative data is often required to perform research in both the physical an...
An Introduction to Stochastic Processes with Applications to Biology, Second Edition presents the ba...
A nonlinear Markov evolution is a dynamical system generated by a measure-valued ordinary differenti...
Introduction to stochastic processes and their applications, and methods for numerical simulation, f...
Although we do not intend to give a general, formal definition, the stochastic mean-field dynamics w...
The aim of this special issue is to publish original research papers that cover recent advances in t...
Thesis (Ph.D.)--University of Washington, 2018Stochastic dynamical systems, as a rapidly growing are...
We consider two mathematical models in evolutionary dynamics. The first model is an extension of an ...
International audienceSpecial Issue of the journal "Markov Processes and Related Fields" containing ...
This article describes a new approach to the problem of nonlinear systems development in terms of si...
We study stochastic particle systems on a complete graph and derive effective mean-field rate equati...
Markov processes and linear evolution equations ; stochastic control, differential games, and nonlin...
This unified treatment of linear and nonlinear filtering theory presents material previously availab...
Mean field has been introduced by physicists to study systems of interacting objects. For example, t...