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- Subjects
- 60-XX Probability theory and stochastic processes
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A model of vortex filaments based on stochastic processes is presented. In contrast to previous models based on semimartingales, here processes with fractal properties between and are used, which include fractional Brownian motion and similar non-Gaussian examples. Stochastic integration for these processes is employed to give a meaning to the kinetic energy.
In this paper, we propose an extension of a periodic () model to a Markov-switching periodic (-), and provide some probabilistic properties of this class of models. In particular, we address the question of strictly periodically...
L’article se propose de montrer comment, en 1843, Cournot s’efforce de répondre à la crise des fondements qui ébranle le calcul des probabilités, en lui assignant le statut d’une théorie mathématique pure et en distinguant les significations objective et subjective de la probabilité, afin de mesurer la portée de ses applications. On est alors conduit à interroger la représentation proposée par Cournot des mathématiques et de leur rapport au réel, pour mettre à jour la relation qui unit son projet...
We establish circumstances under which the dispersion of passive contaminants in a forced flow can be consistently interpreted as a Markovian diffusion process.
We prove the existence and smoothness of density for the solution
of a hyperbolic SPDE with free term coefficients depending on
time, under hypoelliptic non degeneracy conditions. The result
extends those proved in Cattiaux and Mesnager, PTRF123 (2002) 453-483 to an infinite dimensional
setting.
Let (Ω,,P) be a probability space and let τ: ℝ × Ω → ℝ be strictly increasing and continuous with respect to the first variable, and -measurable with respect to the second variable. We obtain a partial characterization and a uniqueness-type result for solutions of the general linear equation
in the class of probability distribution functions.
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