Central limit theorem for the excited random walk in dimension .
Bérard, Jean, Ramirez, Alejandro (2007)
Electronic Communications in Probability [electronic only]
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Bérard, Jean, Ramirez, Alejandro (2007)
Electronic Communications in Probability [electronic only]
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Holmes, Mark P. (2009)
Electronic Communications in Probability [electronic only]
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Sznitman, Alain-Sol (2009)
Electronic Journal of Probability [electronic only]
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Jean-Christophe Mourrat (2011)
Annales de l'I.H.P. Probabilités et statistiques
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For the random walk among random conductances, we prove that the environment viewed by the particle converges to equilibrium polynomially fast in the variance sense, our main hypothesis being that the conductances are bounded away from zero. The basis of our method is the establishment of a Nash inequality, followed either by a comparison with the simple random walk or by a more direct analysis based on a martingale decomposition. As an example of application, we show that under certain...
Birkner, Matthias (2004)
Electronic Communications in Probability [electronic only]
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Croydon, David A., Kumagai, Takashi (2008)
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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Biskup, Marek, Prescott, Timothy M. (2007)
Electronic Journal of Probability [electronic only]
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Nadine Guillotin-Plantard, Clémentine Prieur (2010)
ESAIM: Probability and Statistics
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We prove a central limit theorem for linear triangular arrays under weak dependence conditions. Our result is then applied to dependent random variables sampled by a -valued transient random walk. This extends the results obtained by [N. Guillotin-Plantard and D. Schneider, (2003) 477–497]. An application to parametric estimation by random sampling is also provided.
Boivin, Daniel, Derrien, Jean-Marc (2002)
Electronic Communications in Probability [electronic only]
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