List of recent papers from HAL repository: HAL-MAPMO

Preprints / Submitted papers

• Bordes, L. and Chauveau D. (2012),
  EM and Stochastic EM algorithms for reliability mixture models under random censoring. (HAL).
  
• Chauveau D. and Hunter D. R. (2011),
  ECM and MM algorithms for mixtures with constrained parameters. (HAL).
  
• Chauveau D., Hunter D., Levine M. (2011),
  Estimation for Conditional Independence Multivariate Finite Mixture Models, (HAL).
  
• Desjardins, V., Foki, J., Chauveau, D. et Delmas, J.-F. (2010),
  Statistical Analysis of Mother-infant (3 to 9 months) Perceptive System Communication, (HAL).
  

Parus ou à paraitre/ published or accepted

• Chauveau, D. and Vandekerkhove, P. (2012),
  Smoothness of Metropolis-Hastings algorithm and application to entropy estimation.
  ESAIM: Probability and Statistics (to appear).
  
• Levine M., Hunter D.R. and Chauveau D. (2011),
  Maximum Smoothed Likelihood for Multivariate Mixtures,
  Biometrika 98 no 2, 403-416. (HAL).
  
• Benaglia, T., Chauveau, D. and Hunter, D. R. (2011),
  Bandwidth Selection in an EM-like algorithm for nonparametric multivariate mixtures,
  in Nonparametric Statistics and Mixture Models: A Festschrift in Honor of Thomas P. Hettmansperger,
  D.R. Hunter, D. Richards and J.L. Rosenberger (Eds.), p. 15-27, World Scientific Publishing Co. (HAL).
  
• Bordes L., Chauveau, D. (2010),
  Some Algorithms to Fit some Reliability Mixture Models under Censoring,
  Proceedings of the 19th International Conference on Computational Statistics, Paris France.
  Lechevallier, Yves; Saporta, Gilbert (Eds.), Springer.
• Benaglia, T., Chauveau, D., Hunter, D. R. and Young, D.S. (2009),
  mixtools: An R Package for Analyzing Finite Mixture Models, (JSS).
  Journal of Statistical Software, 32, no 6, Oct 2009.
• Benaglia, T., Chauveau, D. and Hunter, D. R. (2009),
  An EM-like algorithm for semi- and non-parametric estimation in multivariate mixtures,
  Journal of Computational and Graphical Statistics, 18, no 2, 505-526. (HAL).
  
• Chauveau, D. and Vandekerkhove, P. (2007),
  A Monte Carlo estimation of the Entropy for Markov chains,
  Methodology & Computing in Applied Probability, 9, no 1, 133-149. (HAL).
• Bordes, L., Chauveau, D. and Vandekerkhove, P. (2007),
  A stochastic EM algorithm for a semiparametric mixture model,
  Comp. Stat. and Data Analysis 51, 5429-5443   (HAL).
  
• Chauveau, D. and Diebolt, J. (2003),
  Estimation of the asymptotic variance in the CLT for Markov chains,
  Stochastic Models, 19, no 4, 449-465. (HAL).
• Altaleb, A. and Chauveau, D. (2002),
  Bayesian analysis of the Logit model and comparison of two Metropolis-Hastings strategies,
  Computational Statistics and Data Analysis, 39, 137-152. (abstract).
• Chauveau, D. and Vandekerkhove, P. (2002),
  Improving convergence of the Hastings-Metropolis algorithm with an adaptive proposal,
  Scandinavian Journal of Statistics, 29, no 1, 13-29. (abstract)
• Chauveau, D. and Vandekerkhove, P. (2001),
  Algorithmes de Hastings-Metropolis en interaction,
  C. R. Acad. Sci. Paris , t. 333, Série I, p. 881-884. (abstract)
• Chauveau, and D., Diebolt, J. (1999),
  An Automated Stopping Rule for MCMC Convergence Assessment,
  Computational Statistics, 14, no 3, 419-442.
• Chauveau, D. and Vandekerkhove, P. (1999),
  Un algorithme de Hastings-Metropolis avec apprentissage séquentiel,
  C. R. Acad. Sci. Paris, t. 329, Série I, p. 173-176.
• Muri, F., Chauveau, D., and Cellier, D.  (1998),
  Convergence Assessment in Latent Variable Models: DNA Applications,
  In Discretizations methods for  MCMC convergence assessments,(C.P. Robert, Ed.),
  Lecture Notes in Statistics no 135, Springer-Verlag, New York, Chapter 6, 127-146.
• Chauveau, D., Diebolt, J., and Robert, C.P., (1998),
  Control by the Central Limit Theorem.
  In Discretizations methods for  MCMC convergence assessments,(C.P. Robert, Ed.),
  Lecture Notes in Statistics no 135, Springer-Verlag, New York, Chapter 5, 99-126.
• Celeux, G., Chauveau, D., Diebolt, J. (1996),
  Stochastic Versions of the EM Algorithm: An Experimental study in the Mixture Case,
  Journal of Statis. Comput. Simul., 55, 287-314.
• Chauveau, D., Martin, C.F., van Rooij, A. and Ruymgaart, F. (1996),
  Discrete Signed Mixtures of Exponentials,
  Commun. Statist. - Stochastic Models, 12, no 2, 245-263.
• Chauveau, D. (1995),
  A Stochastic EM Algorithm for Mixtures with Censored Data,
  Journal of Statistical Planning Inference, 46, 1-25.
• Chauveau, D., van Rooij, A., and Ruymgaart, F. (1994),
  Regularized Inversion of Noisy Laplace Transforms,
  Advances in Applied Math., 15, 186-201.
• Chauveau, D. (1992),
  Algorithmes EM et SEM pour un Mélange Censuré de distributions de défaillances, Application à la Fiabilité,
  Rev. Statistique Appliquée, 40, 67-76.

 Contributions to paper discussions

• Chauveau, D. (1997),
  discussion of The EM algorithm - An old folk song sung to a fast new tune,
  by Meng, X.L. et Van Dyk, D., J. Royal Statistical Society, series B, 59:3, 511-567.

Unpublished Tech. reports

• Chauveau, D. (1991),
  Extension des Algorithmes EM et SEM à la Reconnaissance de Mélanges Censurés de Distributions de Défaillances,
  Thèse de Doctorat (PhD), Université Paris-Sud, Orsay, France.
• Bon, J.L., Bretagnolle, J., Chauveau, D., Jakubowicz, P., Pamphile, P. et Raoult, J.P. (1993),
  Calcul séquentiel de fiabilité à partir d'approximations exponentielles,
  Rapport technique Université Paris-Sud (contrat EDF).
• J.P. Raoult, D. Chauveau, C. Cocozza, M. Roussignol (1995),
  Modèles de Durée de Survie Applicables à la Mécanique sous Contraintes d'Environnement,
  Rapport technique EDF-Université Marne-la-Vallée.
• Chauveau, D., and Diebolt, J. (1998),
  An Automated Stopping Rule for MCMC Convergence Assessment,
  Research Report no RR- 3566, INRIA Rhône-Alpes
  (Gzipped PostScript , or abstract).
• Chauveau, D., and Diebolt, J. (2000),
  Stability properties for a product Markov chain,
  Prepublication no 06/00, Université de Marne la Vallée
  (Gzipped PostScript, or abstract).
• Chauveau, D. (2001),
  User's guide to the CLTC software for MCMC convergence diagnostic (pdf).
• Chauveau, D., and Diebolt, J. (2001),
  Estimation of the limiting variance for Markov chains,
  Prepublication no 01/01, Université de Marne la Vallée.
• Chauveau, D., and Vandekerkhove, P. (2001),
  Interacting Hastings-Metropolis algorithms,
  Prepublication no 08/2001, Université de Marne la Vallée.
• Chauveau, D. (2001),
  Méthodes de Monte Carlo par chaînes de Markov et algorithmes de restauration de données manquantes,
  mémoire d'Habilitation à Diriger des Recherches (HDR),
  Université Marne-la-Vallée (pdf file).
• Menvielle, M., Roussignol, M. and Chauveau, D. (2005),
  MCMC inversion method for discontinuity detection in one-dimensional situations, (abstract in pdf).
  
• Chauveau, D. and Vandekerkhove, P. (2007),
  How to compare MCMC simulation strategies?, (HAL).