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Optimization in stochastic models
International Journal of Computer Mathematics, 1964Suppose we are given a random process depending on one or more parameters x, y, . . . . and that we can simulate this process on a computer to obtain independent realizations of it. Suppose further that some function, whose value for each realization is a random variable {(x, y, . . .
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A stochastic model of hormesis
Mathematical Biosciences, 1993In order to describe the life-prolonging effect of some agents that are harmful at higher doses, ionizing radiations in particular, a stochastic model is developed in terms of accumulation and progression of intracellular lesions caused by the environment and by the agent itself.
Yakovlev, Andrej Yu. +2 more
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A stochastic model for solitons
Random Structures & Algorithms, 2003AbstractThe soliton physics for the propagation of waves is represented by a stochastic model in which the particles of the wave can jump ahead according to some probability distribution. We demonstrate the presence of a steady state (stationary distribution) for the wavelength. It is shown that the stationary distribution is a convolution of geometric
Yoshiaki Itoh 0002 +2 more
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STOCHASTIC MODELS OF THERMODIFFUSION
Modern Physics Letters B, 2009New stochastic models of thermodiffusion are constructed and their hydrodynamical limits are studied through a first-order Chapman–Enskog expansion. These models differ from earlier ones by taking into account all first-order contributions proportional to the temperature gradient and, thus, allow for both positive and negative Soret coefficients, in ...
Chevalier, C., Debbasch, F., Rivet, J.P.
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2008
Stochastic volatility (SV) is the main concept used in the fields of financial economics and mathematical finance to deal with the endemic time-varying volatility and codependence found in financial markets. Such dependence has been known for a long time; early commentators include Mandelbrot (1963) and Officer (1973). It was also clear to the founding
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Stochastic volatility (SV) is the main concept used in the fields of financial economics and mathematical finance to deal with the endemic time-varying volatility and codependence found in financial markets. Such dependence has been known for a long time; early commentators include Mandelbrot (1963) and Officer (1973). It was also clear to the founding
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2012 Ninth International Conference on Quantitative Evaluation of Systems, 2012
Sport provides a rich set of opportunities for the application of stochastic modelling. The discrete nature of some sports (tennis, for example) lends itself to analysis through Markov chains to model how the state of the game changes over time, enabling the estimation of the probabilities of various outcomes. In others there are clear "risk and reward"
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Sport provides a rich set of opportunities for the application of stochastic modelling. The discrete nature of some sports (tennis, for example) lends itself to analysis through Markov chains to model how the state of the game changes over time, enabling the estimation of the probabilities of various outcomes. In others there are clear "risk and reward"
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Management Science, 1972
Growth period models, previously treated in the literature, have assumed that the pattern of value increase of the growth asset is deterministic. In this paper, this assumption is relaxed by considering models in which the increase in value of an asset in a period is a random variable whose distribution is a function of either the value or the age of ...
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Growth period models, previously treated in the literature, have assumed that the pattern of value increase of the growth asset is deterministic. In this paper, this assumption is relaxed by considering models in which the increase in value of an asset in a period is a random variable whose distribution is a function of either the value or the age of ...
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A Stochastic Model for Intrusions
2002We describe a computer network attack model with two novel features: it uses a very flexible action representation, the situation calculus and goal-directed procedure invocation to simulate intelligent, reactive attackers. Using the situation calculus, our simulator can project the results actions with complex preconditions and context-dependent ...
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Telecommunication Systems, 2016
Internet worm infection continues to be one of top security threats and has been widely used by botnets to recruit newbots. In order to defend against future worms, it is important to understand how worms propagate and how different scanning strategies affect worm propagation dynamics.
Hanxun Zhou, Wei Guo 0016
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Internet worm infection continues to be one of top security threats and has been widely used by botnets to recruit newbots. In order to defend against future worms, it is important to understand how worms propagate and how different scanning strategies affect worm propagation dynamics.
Hanxun Zhou, Wei Guo 0016
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On Stochastic Mortality Modeling
SSRN Electronic Journal, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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