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hal-00281392v1  Pré-publication, Document de travail
A. Garivier, Eric Moulines. On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems
24 pages. 2008
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hal-00684716v2  Article dans une revue
Ban Zheng, Eric Moulines, Frédéric Abergel. Price jump prediction in a limit order book
journal of mathematical finance, 2013, 3 (2), pp.242-255. <10.4236/jmf.2013.3202>
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hal-00259951v2  Pré-publication, Document de travail
Julien Cornebise, Eric Moulines, Jimmy Olsson. Adaptive methods for sequential importance sampling with application to state space models
Preprint of the article to be published in Statistics and Comptuing. 36 pages. 2008
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hal-00948661v3  Pré-publication, Document de travail
Alain Durmus, Gersende Fort, Eric Moulines. Subgeometric rates of convergence in Wasserstein distance for Markov chains
2015
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hal-00329515v1  Pré-publication, Document de travail
Elisabeth Gassiat, Benoit Landelle, Eric Moulines. Forgetting of the initial distribution for non-ergodic Hidden Markov Chains
31 pages. 2008
hal-00978886v1  Communication dans un congrès
Yasir Khan, Berna Sayrac, Eric Moulines. Surrogate Based Centralized SON: Application to Interference Mitigation in LTE-A HetNets
Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th, Jun 2013, Germany. pp.1 - 5, 2013, <10.1109/VTCSpring.2013.6692776>
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inria-00386750v1  Communication dans un congrès
Randal Douc, A. Garivier, Eric Moulines, Jimmy Olsson. Approximation particulaire par FFBS de la loi de lissage pour des HMM dans des espaces d'états généraux
41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France. 2009
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hal-00693302v4  Pré-publication, Document de travail
Amandine Schreck, Gersende Fort, Eric Moulines. Adaptive Equi-Energy Sampler : Convergence and Illustration
2012
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hal-00016396v1  Pré-publication, Document de travail
Randal Douc, Arnaud Guillin, Eric Moulines. Bounds on Regeneration Times and Limit Theorems for Subgeometric Markov Chains
2006
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hal-00154180v1  Chapitre d'ouvrage
Randal Douc, Eric Moulines, Philippe Soulier. Subgeometric ergodicity of Markov chains
Patrice Bertail, Paul Doukhan, Philippe Soulier. Dependence in probability and statistics, Springer, pp.55--64, 2006, Lecture notes in statistics
hal-01372463v1  Article dans une revue
Randal Douc, Arnaud Guillin, Eric Moulines. Bounds on regeneration times and limit theorems for subgeometric Markov chains
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, Institute Henri Poincaré, 2008, 44 (2), pp.239 - 257. <10.1214/07-AIHP109>
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hal-00133933v2  Pré-publication, Document de travail
Céline Lévy-Leduc, Eric Moulines, François Roueff. Frequency estimation based on the cumulated Lomb-Scargle periodogram
Nombre de pages : 22. 2007
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hal-00442874v2  Pré-publication, Document de travail
Céline Lévy-Leduc, Hélène Boistard, Eric Moulines, Murad S. Taqqu, Valderio A. Reisen. Asymptotic properties of U-processes under long-range dependence
2009
hal-01263245v1  Ouvrage (y compris édition critique et traduction)
Randal Douc, Eric Moulines, David Stoffer. Nonlinear time series : theory, methods and applications with R examples
Chapman et Hall - CRC Press, 2014, Texts in statistical science, Texts in statistical science, 978-1-466-50225-3
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hal-00966187v2  Pré-publication, Document de travail
Gersende Fort, Eric Moulines, Amandine Schreck, Matti Vihola. Convergence of Markovian Stochastic Approximation with discontinuous dynamics
2016
hal-01354770v1  Article dans une revue
Randal Douc, Elisabeth Gassiat-Granier, Benoit Landelle, Eric Moulines. Forgetting of the initial distribution for nonergodic Hidden Markov Chains
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2010, 20 (5), pp.1638 - 1662
hal-01262408v1  Article dans une revue
Randal Douc, Eric Moulines, Jimmy Olsson. Long-term stability of sequential Monte Carlo methods under verifiable conditions
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2014, 24 (5), pp.1767 - 1802. <10.1214/13-AAP962>
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hal-00087295v2  Article dans une revue
Gersende Fort, Sean Meyn, Eric Moulines, Pierre Priouret. The ODE method for stability of skip-free Markov chains with applications to MCMC
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2008, 18 (2), pp.664-707. <10.1214/07-AAP471>
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hal-00608574v1  Article dans une revue
Gersende Fort, Eric Moulines, Pierre Priouret, Pierre Vandekerkhove. A simple variance inequality for U-statistics of a Markov chain with applications
Statistics and Probability Letters, Elsevier, 2012, 82 (6), pp.1193--1201
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hal-00138902v1  Article dans une revue
Randal Douc, Gersende Fort, Eric Moulines, Pierre Priouret. Forgetting of the initial distribution for Hidden Markov Models
Stochastic Processes and their Applications, Elsevier, 2009, 119 (4), pp.1235--1256
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hal-00174161v1  Pré-publication, Document de travail
Randal Douc, Eric Moulines, Jimmy Olsson. On the auxiliary particle filter
26 pages. 2007
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hal-01298922v1  Pré-publication, Document de travail
Alain Durmus, Sylvain Le Corff, Eric Moulines, Gareth O. Roberts. Optimal scaling of the Random Walk Metropolis algorithm under Lp mean differentiability
2016
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hal-01394833v1  Pré-publication, Document de travail
Gersende Fort, Emmanuel Gobet, Eric Moulines. MCMC design-based non-parametric regression for rare-event. Application to nested risk computations
2016
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hal-00536394v2  Pré-publication, Document de travail
Olaf Kouamo, Céline Lévy-Leduc, Eric Moulines. Central limit theorem for the robust log-regression wavelet estimation of the memory parameter in the Gaussian semi-parametric context
2011
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hal-00442875v1  Pré-publication, Document de travail
Céline Lévy-Leduc, Hélène Boistard, Eric Moulines, Murad S. Taqqu, Valderio A. Reisen. Robust estimation of the scale and of the autocovariance function of Gaussian short and long-range dependent processes
2009
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hal-00442774v1  Pré-publication, Document de travail
Randal Douc, Eric Moulines, Jimmy Olsson, Ramon Van Handel. Consistency of the Maximum Likelihood Estimator for general hidden Markov models
2009
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hal-00831977v1  Communication dans un congrès
Francis Bach, Eric Moulines. Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Neural Information Processing Systems (NIPS), Dec 2013, United States. 2013
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hal-00608041v1  Communication dans un congrès
Francis Bach, Eric Moulines. Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Neural Information Processing Systems (NIPS), 2011, Spain. 2011
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