Total : 40 publications

2026

Pré-publication, Document de travail

• Convergence of Multi-Level Markov Chain Monte Carlo Adaptive Stochastic Gradient Algorithms
  Antoine Godichon-Baggioni, Gabriel Lang, Sylvain Le Corff, Julien Stoehr, Sobihan Surendran
  Stochastic optimization in learning and inference often relies on Markov chain Monte Carlo (MCMC) to approximate gradients when exact computation is i...
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2022

Article dans une revue

• Spectral estimation of Hawkes processes from count data
  Felix Cheysson, Gabriel Lang
  This paper presents a parametric estimation method for ill-observed linear stationary Hawkes processes. When the exact locations of points are not obs...
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2021

Article dans une revue

• Dynamic spatiotemporal coordination of neural stem cell fate decisions occurs through local feedback in the adult vertebrate brain
  Nicolas Dray, Laure Mancini, Udi Binshtok, Felix Cheysson, Willy Supatto, Pierre Mahou, Sébastien Bedu, Sara Ortica, Emmanuel Than-Trong, Monika Krecsmarik, Sébastien Herbert, Jean-Baptiste Masson, Jean-Yves Tinevez, Gabriel Lang, Emmanuel Beaurepaire, David Sprinzak, Laure Bally-Cuif
  Neural stem cell (NSC) populations persist in the adult vertebrate brain over a lifetime, and their homeostasis is controlled at the population level ...
  hal-03287988 | ⬇️ Télécharger
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2020

Pré-publication, Document de travail

• Dynamic spatiotemporal coordination of neural stem cell fate decisions through local feedback in the adult vertebrate brain
  Nicolas Dray, Laure Mancini, Udi Binshtok, Felix Cheysson, Willy Supatto, Pierre Mahou, Sébastien Bedu, Sara Ortica, Monika Krecsmarik, Sébastien Herbert, Jean-Baptiste Masson, Jean-Yves Tinevez, Gabriel Lang, Emmanuel Beaurepaire, David Sprinzak, Laure Bally-Cuif
  Neural stem cell (NSC) populations persist in the adult vertebrate brain over a life time, and their homeostasis is controlled at the population level...
  pasteur-03008984 | ⬇️ Télécharger
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Article dans une revue

• Distance-based measures of spatial concentration: Introducing a relative density function
  Gabriel Lang, Eric Marcon, Florence Puech
  For a decade, distance-based methods have been widely employed and constantly improved in the field of spatial economics. These methods are a very use...
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2017

Article dans une revue

• The Generalized Simpson's Entropy is a Measure of Biodiversity
  Michael Grabchak, Eric Marcon, Gabriel Lang, Zhiyi Zhang
  Modern measures of diversity satisfy reasonable axioms, are parameterized to produce diversity profiles, can be expressed as an effective number of sp...
  hal-01276738 | ⬇️ Télécharger
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2016

Article dans une revue

• Weak dependence of point processes and application to second-order statistics
  Paul Doukhan, Gabriel Lang
  We propose a general definition for weak dependence of point processes as an alternative to mixing definitions. We give examples of such weak dependen...
  hal-01532625
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• Weak dependence of point processes and application to second order statistics
  Paul Doukhan, Gabriel Lang
  We propose a general definition for weak dependence of point processes as an alternative to mixing definitions. We give examples of such weak dependen...
  hal-03470919 | ⬇️ Télécharger
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2015

Article dans une revue

• Tools to characterize point patterns: dbmss for R
  Eric Marcon, Stephane Traissac, Florence Puech, Gabriel Lang
  The dbmss package for R provides an easy-to-use toolbox to characterize the spatial structure of point patterns. Our contribution presents the state o...
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• Phantom distribution functions for some stationary sequences
  Paul Doukhan, Adam Jakubowski, Gabriel Lang
  The notion of a phantom distribution function (phdf) was introduced by O’Brien (Ann. Probab. 15, 281–292 (1987)). We show that the existence of a ...
  hal-01232648
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• Dependent wild bootstrap for the empirical process
  Paul Doukhan, Gabriel Lang, Anne Leucht, Michael H. Neumann
  In this paper, we propose a model-free bootstrap method for the empirical process under absolute regularity. More precisely, consistency of an adapted...
  hal-01594127
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2014

Communication dans un congrès

• Detecting genomic alteration in genomic profiles: the infinite population case
  Marie-Pierre Etienne, Laurent Decreusefond, Gabriel Lang, Stephane S. Robin
  
  hal-01589480
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Article dans une revue

• Generalization of the Partitioning of Shannon Diversity
  Eric Marcon, Ivan Scotti, Bruno Hérault, Vivien Rossi, Gabriel Lang
  Traditional measures of diversity, namely the number of species as well as Simpson's and Shannon's indices, are particular cases of Tsallis entropy. E...
  hal-01189953 | ⬇️ Télécharger
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2013

Communication dans un congrès

• Agregation of individual sequences
  Gabriel Lang, Eric Marcon
  
  hal-01560330
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Article dans une revue

• A statistical test for ripley's K function rejection of poisson null hypothesis
  Eric Marcon, Stephane Traissac, Gabriel Lang
  Ripley’s K function is the classical tool to characterize the spatial structure of point patterns. It is widely used in vegetation studies. Testing ...
  hal-01502637 | ⬇️ Télécharger
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• Testing randomness of spatial point patterns with the Ripley statistic
  Gabriel Lang, Eric Marcon
  Aggregation patterns are often visually detected in sets of location data. These clusters may be the result of interesting dynamics or the effect of p...
  hal-01502640
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• Analysis of the spatial organization of molecules with robust statistics
  Thibault Lagache, Gabriel Lang, Nathalie Sauvonnet, Jean-Christophe Olivo-Marin
  One major question in molecular biology is whether the spatial distribution of observed molecules is random or organized in clusters. Indeed, this ana...
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2012

Article dans une revue

• The decomposition of Shannon's entropy and a confidence interval for beta diversity
  Eric Marcon, Bruno Hérault, Christopher Baraloto, Gabriel Lang
  Beta diversity is among the most employed theoretical concepts in ecology and biodiversity conservation. Up to date, a self-contained definition of it...
  hal-01032426
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2010

Article dans une revue

• Rates in strong laws of large numbers in nonparametric statistics
  Paul Doukhan, Oleg Klesov, Gabriel Lang
  Fazekas and Klesov (2000) found conditions for almost sure convergence rates in the law of large numbers that effectively can be applied if maximal in...
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2009

Autre publication scientifique

• French Roadmap for complex Systems 2008-2009
  David Chavalarias, Paul Bourgine, Edith Perrier, Frédéric Amblard, François Arlabosse, Pierre Auger, Jean-Bernard Baillon, Olivier Barreteau, Pierre Baudot, Elisabeth Bouchaud, Soufian Ben Amor, Hugues Berry, Cyrille Bertelle, Marc Berthod, Guillaume Beslon, Giulio Biroli, Daniel Bonamy, Daniele Bourcier, Nicolas Brodu, Marc Bui, Yves Burnod, Bertrand Chapron, Catherine Christophe, Bruno Clément, Jean-Louis Coatrieux, Jean-Philippe Cointet, Valérie Dagrain, Katia Dauchot, Olivier Dauchot, François Daviaud, Silvia de Monte, Guillaume Deffuant, Pierre Degond, Jean-Paul Delahaye, René Doursat, Francesco d'Ovidio, Marc A. Dubois, Berengère Dubruelle, Marie Dutreix, Robert Faivre, Emmanuel Farge, Patrick Flandrin, Sara Franceschelli, Cédric Gaucherel, Jean-Pierre Gaudin, Michael Ghil, Jean-Louis Giavitto, Francesco Ginelli, Vincent Ginot, François Houllier, Bernard Hubert, Pablo Jensen, Ludovic Jullien, Zoï Kapoula, Daniel Krob, François Ladieu, Gabriel Lang, Christophe Lavelle, André Le Bivic, Jean-Pierre Leca, Christophe Lecerf, Pierre Legrain, Denis L'Hôte, Maud Loireau, Jean-François Mangin, Olivier Monga, Michel Morvan, Jean-Pierre Muller, Ioan Negrutiu, Nadine Peyreiras, Denise Pumain, Ovidiu Radulescu, Jean Sallantin, Eric Sanchis, D Schertzer, Marc Schoenauer, Michèle Sebag, Eric Simonet, Adrien Six, Fabien Tarissan, Patrick Vincent
  A “complex system” is in general any system comprised of a great number of heterogeneous entities, among which local interactions create multiple ...
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Article dans une revue

• An empirical central limit theorem with applications to copulas under weak dependence
  Paul Doukhan, Jean-David Fermanian, Gabriel Lang
  We state a multidimensional Empirical Central Limit Theorem for weakly dependent random vectors. We get weak convergence of the empirical copula proce...
  hal-00267620
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• Evaluation for moments of a ratio with application to regression estimation
  Paul Doukhan, Gabriel Lang
  Ratios of random variables often appear in probability and statistical applications We aim to approximate the moments of such ratios under several dep...
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Communication dans un congrès

• Test du processus de Poisson homogène par la statistique de Ripley
  Gabriel Lang, Eric Marcon
  La statistique de Ripley a été introduite pour mesurer l'agrégation des points d'un processus ponctuel. Elle a été très fréquemment utilisée n...
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2008

Pré-publication, Document de travail

• Evaluation for moments of a ratio with application to regression estimation
  Paul Doukhan, Gabriel Lang
  Many problems involve ratios in probability or in statistical applications. We aim at approximating the moments of such ratios under specific assumpti...
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Article dans une revue

• Dependent Lindeberg central limit theorem and some applications
  Jean-Marc Bardet, Paul Doukhan, Gabriel Lang, Nicolas Ragache
  In this paper, a very useful lemma (in two versions) is proved: it simplifies notably the essential step to establish a Lindeberg central limit theore...
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• A functional central limit theorem for interacting particle systems on transitive graphs
  Paul Doukhan, Gabriel Lang, Sana Louhichi, Bernard Ycart
  A finite range interacting particle system on a transitive graph is considered. Assuming that the dynamics and the initial measure are invariant, the ...
  hal-00268278 | ⬇️ Télécharger
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2007

Article dans une revue

• Limit theorems for sums of non linear function of ARFIMA processes with random Hurst exponents and Gaussian innovations
  Paul Doukhan, Gabriel Lang, Donatas Surgailis
  Philippe et al. (2005, 2006) introduced time-varying mutually invertable fractionally integrated filters $ A({\bf d}), B({\bf d}) $ depending on an ar...
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Ouvrages

• Weak dependence: with examples and applications
  Jérôme Dedecker, Paul Doukhan, Gabriel Lang, José Rafael Leon, Sana Louhichi, Clémentine Prieur
  This monograph is aimed at developing Doukhan/Louhichi's (1999) idea to measure asymptotic independence of a random process. The authors propose vario...
  hal-00686031
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2005

Article dans une revue

• Estimation of long memory in the presence of a smooth nonparametric trend
  Clifford M. Hurvich, Gabriel Lang, Philippe Soulier
  We consider semiparametric estimation of the long-memory parameter of a stationary process in the presence of an additive nonparametric mean function....
  hal-00147626
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• Functional Limit Theorem for the Empirical Process of a Class of Bernoulli Shifts with Long Memory
  Paul Doukhan, Gabriel Lang, Donatas Surgailis, Marie Claude Viano
  We prove a functional central limit theorem for the empirical process of a stationary process $X_t = Y_t + V_t$, where $Y_t$ is a long memory moving a...
  hal-00267623 | ⬇️ Télécharger
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• Estimation of long memory in the presence of a smooth nonparametric trend
  Clifford Hurvich, Gabriel Lang, Philippe Soulier
  
  hal-02681005
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2003

Chapitre d'ouvrage

• Semi-parametric estimation of the long-range dependence parameter : A survey
  Jean-Marc Bardet, Anne Philippe, Georges Oppenheim, Murad S. Taqqu, Stilan Stoev, Gabriel Lang
  In semi-parametric models, the long-range dependence parameter is estimated without assuming that the short-range dependence structure of the covarian...
  hal-00127926
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• Generators of long-range dependent processes: A survey
  Jean-Marc Bardet, Gabriel Lang, Georges Oppenheim, Anne Philippe, Murad S. Taqqu
  We describe methods for generating discretized sample paths of long-range dependent processes such as fractional Brownian motion, its increment fracti...
  hal-00127929
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2002

Article dans une revue

• Rates in the empirical central limit theorem for stationary weakly dependent random fields
  Paul Doukhan, Gabriel Lang
  A weak dependence condition is derived as the natural generalization to random fields on notions developed in Doukhan and Louhichi (1999). Examples of...
  hal-02677505
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2001

Article dans une revue

• Semi-parametric estimation of the hölder exponent of a stationary gaussian process with minimax rates
  Gabriel Lang, François Roueff
  Let (X(t ))t∈[0,1] be a centered Gaussian process with stationary increments such that IE[(Xu+t −Xu)2] = C|t| s +r(t ). Assume that there exists a...
  hal-01232649
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2000

Article dans une revue

• Convergence de mesures spectrales aléatoires et applications à des principes d'invariance
  Gabriel Lang, Philippe Soulier
  Nous présentons un cadre unificateur pour un certain nombre de résultats connus de convergence en loi pour des processus admettant une représentati...
  hal-02698505
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• Wavelet Estimator of Long-Range Dependent Processes
  J. M. Bardet, Gabriel Lang, E. Moulines, P. Soulier
  In this contribution, the statistical properties of the wavelet estimator of the long-range dependence parameter introduced in Abry et al. (1995) are ...
  hal-02694823
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1999

Article dans une revue

• Non-parametric estimation of the long-range dependence exponent for Gaussian processes
  Gabriel Lang, Jean-Marc Azaïs
  We consider a class of long-range-dependent Gaussian processes defined in a semiparametric framework. We propose a new estimator of the long-range dep...
  hal-01232644
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1994

Article dans une revue

• Transferrin polymorphism of red deer in France: evidence for spatial genetic microstructure of an autochthonous herd
  A Schreiber, François Klein, G Lang
  
  hal-00894028 | ⬇️ Télécharger
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1990

Article dans une revue

• Genetic variability and differentiation in red deer (Cervus elaphus L) of Central Europe
  Gb Hartl, R Willing, G Lang, François Klein, J Köller
  
  hal-00893845 | ⬇️ Télécharger
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