Results 271 to 280 of about 415,714 (310)
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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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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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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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Improving Stochastic Model Checking with Stochastic Bounds
2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops), 2006Stochastic model checking requires the computation of steady-state or transient distribution for finite or infinite Markov chains for the evaluation of some formulas implying probabilities. However the numerical analysis of Markov chains is much less efficient than the sophisticated algorithmic techniques such as MTBDD developed for the deterministic ...
Fourneau, Jean-Michel +2 more
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Unternehmensforschung Operations Research - Recherche Opérationnelle, 1963
In some cases arising in certain industries or military installations not only the demand for a particular commodity is a stochastic variable but its supply as well. In these cases it is convenient to consider the inventory level resulting from the interaction of supply and demand as a third stochastic variable.
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In some cases arising in certain industries or military installations not only the demand for a particular commodity is a stochastic variable but its supply as well. In these cases it is convenient to consider the inventory level resulting from the interaction of supply and demand as a third stochastic variable.
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A Stochastic Simulation Approach to Model Selection for Stochastic Volatility Models
Communications in Statistics - Simulation and Computation, 2011Stochastic volatility models have been widely appreciated in empirical finance such as option pricing, risk management, etc. Recent advances of Markov chain Monte Carlo (MCMC) techniques made it possible to fit all kinds of stochastic volatility models of increasing complexity within Bayesian framework.
Yong Li, Zhong-Xin Ni, Jin-Guan Lin
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The Journal of the Acoustical Society of America, 2001
This study presents stochastic models of jitter. Jitter designates small, random, involuntary perturbations of the glottal cycle lengths. Jitter is a base-line phenomenon that may be observed in all voiced speech sounds. Knowledge of its properties is therefore relevant to the acoustic modeling, analysis, and synthesis of voice quality. Also, models of
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This study presents stochastic models of jitter. Jitter designates small, random, involuntary perturbations of the glottal cycle lengths. Jitter is a base-line phenomenon that may be observed in all voiced speech sounds. Knowledge of its properties is therefore relevant to the acoustic modeling, analysis, and synthesis of voice quality. Also, models of
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A Stochastic Programming Model
Econometrica, 1963zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On calibration of stochastic and fractional stochastic volatility models
European Journal of Operational Research, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Milan Mrázek +2 more
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On stochastic compartmental models
Journal of Mathematical Biology, 1989The statistical averaging of compartmental models with parameters being random processes is derived for the case of vanishing input and uniformly bounded input. The difference of resulting models is discussed.
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