Florence MERLEVÈDE
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- Publications
Nom: | MERLEVÈDE |
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Prénom: | Florence | |
Site: | UGE | |
Bureau: | 4B 025 | |
Téléphone: | +33 1 60 95 75 24 | |
Situation: | Permanent | |
Statut: | Professeur | |
Équipe de recherche: | Probabilités et statistiques | |
Courriel: | florence.merlevede [at] univ-eiffel.fr | |
Page personnelle: | http://perso.math.u-pem.fr/merlevede.florence/ | |
Publications au sein du laboratoire
La liste ci-dessous présente les publications du membre obtenues pendant sa présence au sein du laboratoire. Les données proviennent des serveurs de HAL ; il peut donc y avoir des oublis, des doublons ou des erreurs.
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Unbounded Largest Eigenvalue of Large Sample Covariance Matrices: Asymptotics, Fluctuations and Applications
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Behavior of the Wasserstein distance between the empirical and the marginal distributions of stationary α-dependent sequences
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A deviation bound for α-dependent sequences with applications to intermittent maps
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Strong Invariance Principles with Rate for “Reverse” Martingale Differences and Applications
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Moment bounds for dependent sequences in smooth Banach spaces
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A quenched weak invariance principle
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Strong approximation of the empirical distribution function for absolutely regular sequences in R^d.
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Rates in the strong invariance principle for ergodic automorphisms of the torus
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Moderate deviations of functional of Markov Processes
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Rosenthal-type inequalities for the maximum of partial sums of stationary processes and examplesAnnals of Probability (2013)
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On strong approximation for the empirical process of stationary sequences
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Limiting spectral distribution of large sample covariance matrices associated with a class of stationary processes
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Empirical central limit theorems for ergodic automorphisms of the torus
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Rates of convergence in the strong invariance principle under projective criteriaElectronic Journal of Probability 17 (2012) 1-31
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Invariance principles for linear processes with application to isotonic regressionBernoulli 17 (2011) 88-113
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Rates of convergence in the strong invariance principle for non adapted sequences. Application to ergodic automorphisms of the torus
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Rates of convergence in the central limit theorem for linear statistics of martingale differencesStochastic Processes and their Applications 121 (2011) 1013-1043
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Principe d'invariance faible et régression isotonique

Laboratoire d'Analyse et de Mathématiques Appliquées
Université Gustave Eiffel
Université Gustave Eiffel
5 boulevard Descartes
Bâtiment Copernic
77420 Champs-sur-Marne