JOUTARD Cyrille

Statut : 
Enseignant chercheur
Corps : 
MAITRE DE CONFERENCES
CNU : 
Mathématiques appliquées et applications des mathématiques
Composante : 
UFR 6B
Unité de recherche : 
APPLICATION DES MATHÉMATIQUES, INFORMATIQUE ET STATISTIQUE
Organisme d’affectation : 
Université Paul-Valéry Montpellier 3
Courriel :

Axes de recherche :

  • Grandes déviations, approximations asymptotiques ( développements de type Edgeworth, point-selle,...).  
  • Applications en statistique non paramétrique (estimateurs à noyau, tests non paramétriques,...).
  • Problèmes de choix de modèles pour des modèles bayésiens hiérarchiques.

Publications :

  • “Asymptotic tail approximations for some nonparametric test statistics”. Journal of Nonparametric Statistics 32 (2020), no.3, 1-13.

  • "A large deviation approximation for multivariate density functions". Mathematical Methods of Statistics 28 (2019), no. 1, 66–73.

  • "Multidimensional strong large deviation results". Metrika 80 (2017), no. 6-8, 663–683.

  • "Estimating diagnostic error without a gold standard: a mixed membership approach" (en collaboration avec E. Erosheva). Handbook of mixed membership models and their applications, 141–157, Chapman & Hall/CRC, 2015.

  • “Breast Cancer and Quality of Life: Medical Information Extraction from Health Forums” (en collaboration avec T. Opitz, J. Azé, S. Bringay, C. Lavergne et C. Mollevi) . Studies in health technology and informatics 205 (2014), 1070-1074.

  • "Asymptotic approximation for the probability density function of an arbitrary sequence of random variables". Statistics &. Probability Letters 90 (2014), 100–107.

  • "Large deviation approximations for the Mann-Whitney statistic and the Jonckheere-Terpstra statistic". Journal of Nonparametric Statistics 25 (2013), no. 4, 873–888.

  • "A strong large deviation theorem". Mathematical Methods of Statistics 22 (2013), no. 2, 155–164.

  • "Strong large deviations for arbitrary sequences of random variables". Annals of the Institute of Statistical Mathematics 65 (2013), no. 1, 49–67.

  • "Reconceptualizing the classification of PNAS articles" (en collaboration avec E. Airoldi, E. Erosheva, S. Fienberg, T. Love et S. Shringarpure). Proceedings of the National Academy of Sciences 107 (2010), no. 49, 20899–20904.

  • "Hierarchical Bayesian mixed-membership models and latent pattern discovery" (en collaboration avec E. Airoldi, S. Fienberg et T. Love). Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger, 360–376, Springer, 2010.

  • "Large deviation properties for empirical quantile-type production functions" (en collaboration avec A. Daouia). Statistics 43 (2009), no. 3, 267–277.

  • "Discovery of Latent Patterns with Hierarchical Bayesian Mixed-Membership Models and the Issue of Model Choice" (en collaboration avec E. Airoldi, S. Fienberg et T. Love). Data Mining Patterns: New Methods and Applications (2008), 240–275. 

  • "Sharp large deviation principle for the conditional empirical process". International Journal of Statistics and Management Systems 3 (2008), 74–92.

  • "Describing disability through individual-level mixture models for multivariate binary data" (en collaboration avec Elena Erosheva et Stephen Fienberg). Annals of Applied Statistics 1 (2007), no. 2, 502–537.

  • "Applications of large deviations to optimal experimental designs". Statistics & Probability Letters 77 (2007), no. 3, 231–238.

  • "Sharp large deviations in nonparametric estimation". Journal of Nonparametric Statistics 18 (2006), no. 3, 293–306.

  • "Large deviations for M-estimators". Mathematical Methods of Statistics 13 (2004), no. 2, 179–200.