Multiple space-time scale analysis for interacting branching models.
Dawson, Donald A., Greven, Andreas (1996)
Electronic Journal of Probability [electronic only]
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Dawson, Donald A., Greven, Andreas (1996)
Electronic Journal of Probability [electronic only]
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Labarbe, Jean-Maxime, Marckert, Jean-Francois (2007)
Electronic Journal of Probability [electronic only]
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Pierre Del Moral, Laurent Miclo (2000)
Séminaire de probabilités de Strasbourg
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Seppäläinen, Timo (1996)
Electronic Journal of Probability [electronic only]
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A. Laurinčikas, R. Macaitienė (2004)
Open Mathematics
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Here we prove a limit theorem in the sense of the weak convergence of probability measures in the space of meromorphic functions for a general Dirichlet series. The explicit form of the limit measure in this theorem is given.
Pierre Del Moral, L. Miclo (2003)
ESAIM: Probability and Statistics
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We present an interacting particle system methodology for the numerical solving of the Lyapunov exponent of Feynman–Kac semigroups and for estimating the principal eigenvalue of Schrödinger generators. The continuous or discrete time models studied in this work consists of interacting particles evolving in an environment with soft obstacles related to a potential function . These models are related to genetic algorithms and Moran type particle schemes. Their choice is not unique....
Jean-Pierre Conze, Albert Raugi (2003)
ESAIM: Probability and Statistics
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We present a spectral theory for a class of operators satisfying a weak “Doeblin–Fortet” condition and apply it to a class of transition operators. This gives the convergence of the series , , under some regularity assumptions and implies the central limit theorem with a rate in for the corresponding Markov chain. An application to a non uniformly hyperbolic transformation on the interval is also given.
Kaj, I., Sagitov, S. (1997)
Electronic Communications in Probability [electronic only]
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Worms, Julien (1999)
Electronic Journal of Probability [electronic only]
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Ferrari, P.A., Fontes, L.R.G. (1998)
Electronic Journal of Probability [electronic only]
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Aggoun, Lakhdar, Benkherouf, Lakdere, Tadj, Lofti (1999)
Journal of Applied Mathematics and Stochastic Analysis
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Stéphane Girard, Pierre Jacob (2004)
ESAIM: Probability and Statistics
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We present a method for estimating the edge of a two-dimensional bounded set, given a finite random set of points drawn from the interior. The estimator is based both on a Parzen-Rosenblatt kernel and extreme values of point processes. We give conditions for various kinds of convergence and asymptotic normality. We propose a method of reducing the negative bias and edge effects, illustrated by some simulations.