A theoretical analysis of season length restrictions in fisheries management.
Xu, Qing, Batabyal, Amitrajeet A. (2002)
Discrete Dynamics in Nature and Society
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Xu, Qing, Batabyal, Amitrajeet A. (2002)
Discrete Dynamics in Nature and Society
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Ulrich Herkenrath, Radu Theodorescu (1981)
Trabajos de Estadística e Investigación Operativa
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The aim of this paper is to show that the theory of (generalized) random systems with complete connection may serve as a mathematical framework for learning and adaption. Chapter 1 is of an introductory nature and gives a general description of the problems with which one is faced. In Chapter 2 the mathematical model and some results about it are explained. Chapter 3 deals with special learning and adaption models.
Gordienko, Evgueni, Ruiz de Chávez, Juan (2002)
Journal of Applied Mathematics and Stochastic Analysis
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Paulsen, Jostein (2008)
Probability Surveys [electronic only]
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Siu, Tak Kuen (2010)
International Journal of Stochastic Analysis
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Fan, Dejun, Wang, Ke, Hong, Ling (2009)
Mathematical Problems in Engineering
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Ching, Wai-Ki, Siu, Tak-Kuen, Li, Li-Min (2007)
Journal of Applied Mathematics and Decision Sciences
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Buckley, F.M., Pollett, P.K. (2010)
Probability Surveys [electronic only]
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Radu Theodorescu (1985)
Trabajos de Estadística e Investigación Operativa
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This paper is concerned with classification criteria, asymptotic behaviour and stationarity of a non-Markovian model with linear transition rule, called a linear OM-chain. This problems are solved by making use of the structure of the stochastic matrix appearing in the definition of such a model. The model studied includes as special cases the Markovian model as well as the linear learning model, and has applications in psychological and biological research, in control theory, and in...
Melnik, Roderick V.Nicholas (1998)
Discrete Dynamics in Nature and Society
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Pierre Del Moral, Nicolas G. Hadjiconstantinou (2010)
ESAIM: Mathematical Modelling and Numerical Analysis
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This special volume of the ESAIM Journal, , contains a collection of articles on probabilistic interpretations of some classes of nonlinear integro-differential equations. The selected contributions deal with a wide range of topics in applied probability theory and stochastic analysis, with applications in a variety of scientific disciplines, including physics, biology, fluid mechanics, molecular chemistry, financial mathematics and bayesian statistics. In this preface, we provide...
Radosław Wieczorek (2010)
International Journal of Applied Mathematics and Computer Science
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A discrete-time stochastic spatial model of plankton dynamics is given. We focus on aggregative behaviour of plankton cells. Our aim is to show the convergence of a microscopic, stochastic model to a macroscopic one, given by an evolution equation. Some numerical simulations are also presented.
Faria, João Ricardo, León-Ledesma, Miguel A. (2008)
Discrete Dynamics in Nature and Society
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