Results 181 to 190 of about 542,358 (217)
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“Stochastic” and “non-stochastic”
The British Journal of Radiology, 1982Hulse and Mole (1982) have proposed that the terms stochastic and non-stochastic be replaced by words reflecting the currently understood mechanisms underlying the effects they describe: for example, “haplocytic” to replace stochastic for effects which are attributed to changes induced in a single cell, i.e. genetic effects and cancer induction.
E. V. Hulse, R. H. Mole
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Stochastic reaction, stochastic diffusion
ChemTexts, 2020This work explains the stochastic simulation of reaction, diffusion, and combined reaction-diffusion using algorithms and examples of generic cases in 1D and 2D geometries. It explains the Gillespie method for the simulation of chemical reactions and extends it to the simulation of diffusion, including a new improvement on the use of multiple molecule ...
J. I. Carrero, J. S. Loaiza, A. Serna
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, 2015 This study develops and implements a theory and method for analyzing whether introducing new securities or relaxing investment constraints improves the investment opportunity set for risk averse investors. We develop a test procedure for 'stochastic spanning' for two nested polyhedral portfolio sets based on subsampling and Linear Programming.
Stelios Arvanitis +2 more
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Operations Research, 1963
The relative importance of kill probabilities, rates of fire, and other parameters in a duel is considered by examining their effect on the most natural measure of effectiveness, the probability that a given side will win. In the “fundamental” duel, two contestants, A and B, fire at each other until one is killed.
Williams, Trevor, Ancker, C. J. jun.
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The relative importance of kill probabilities, rates of fire, and other parameters in a duel is considered by examining their effect on the most natural measure of effectiveness, the probability that a given side will win. In the “fundamental” duel, two contestants, A and B, fire at each other until one is killed.
Williams, Trevor, Ancker, C. J. jun.
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Fundamenta Informaticae, 2017
We consider stochastic systems of equations of tree series, i.e., systems of equations whose right-hand sides are stochastic tree polynomials. We obtain their least solutions in arbitrary substochastic algebras, using both the [IO]- and OI-substitution mode.
Bozapalidis, Symeon, Rahonis, George
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We consider stochastic systems of equations of tree series, i.e., systems of equations whose right-hand sides are stochastic tree polynomials. We obtain their least solutions in arbitrary substochastic algebras, using both the [IO]- and OI-substitution mode.
Bozapalidis, Symeon, Rahonis, George
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International Journal of Theoretical and Applied Finance, 2002
Hull and White [1] have priced a European call option for the case in which the volatility of the underlying asset is a lognormally distributed random variable. They have obtained their formula under the assumption of uncorrelated innovations in security price and volatility.
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Hull and White [1] have priced a European call option for the case in which the volatility of the underlying asset is a lognormally distributed random variable. They have obtained their formula under the assumption of uncorrelated innovations in security price and volatility.
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Stochastics and stochastics reports
Stochastics and Stochastic Reports, 1990(1990). Stochastics and stochastics reports. Stochastics and Stochastic Reports: Vol. 33, No. 1-2, pp. ebi-ebii.
Mark H. A. Davis, Steven E. Shreve
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2010
A stochastic process is any process describing the evolution in time of a random phenomenon. From a mathematical point of view, the theory of stochastic processes was settled around 1950. Since then, stochastic processes have become a common tool for mathematicians, physicists, engineers, and the field of application of this theory ranges from the ...
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A stochastic process is any process describing the evolution in time of a random phenomenon. From a mathematical point of view, the theory of stochastic processes was settled around 1950. Since then, stochastic processes have become a common tool for mathematicians, physicists, engineers, and the field of application of this theory ranges from the ...
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IUBMB Life, 2005
AbstractAccumulating experimental evidence of stochasticity, self‐organization and abrupt non‐linear transitions underlying the dynamics of cellular structure and function is increasingly more consistent with the concepts and models of phase transitions, critical phenomena and non‐linear thermodynamics rather than with the conventional clockwork ...
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AbstractAccumulating experimental evidence of stochasticity, self‐organization and abrupt non‐linear transitions underlying the dynamics of cellular structure and function is increasingly more consistent with the concepts and models of phase transitions, critical phenomena and non‐linear thermodynamics rather than with the conventional clockwork ...
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