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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 5Y. Auffray, P. Barbillon, J.-M. Marin.

    Bounding rare event probabilities in computer experiments, in: Computational Statistics and Data Analysis, July 2014, 24 p. [ DOI : 10.1016/j.csda.2014.06.023 ]

    https://hal.inria.fr/hal-01097166
  • 6J.-P. Baudry, M. Cardoso, G. Celeux, M.-J. Amorim, A. Sousa Ferreira.

    Enhancing the selection of a model-based clustering with external categorical variables" Advances in Data Analysis and Classification, in: Advances in Data Analysis and Classification, 2014, 14 p.

    https://hal.inria.fr/hal-01108795
  • 7G. Celeux, M.-L. Martin-Magniette, C. Maugis, A. E. Raftery.

    Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering, in: Journal de la Société Française de Statistique, 2014.

    https://hal.inria.fr/hal-00943473
  • 8R. Fouchereau, G. Celeux, P. Pamphile.

    Probabilistic modeling of S-N curves, in: International Journal of Fatigue, 2014, 10 p.

    https://hal.inria.fr/hal-01108802
  • 9S. Fu, G. Celeux, N. Bousquet.

    Bayesian inference for inverse problems occurring in uncertainty analysis, in: International Journal for Uncertainty Quantification, 2014, 12 p.

    https://hal.inria.fr/hal-01108811
  • 10C. Keribin, V. Brault, G. Celeux, G. Govaert.

    Estimation and selection for the latent block model on categorical data, in: Statistics and Computing, 2014, 16 p. [ DOI : 10.1007/s11222-014-9472-2 ]

    https://hal.inria.fr/hal-01095957
  • 11R. Lebret, S. Iovleff, F. Langrognet, C. Biernacki, G. Celeux, G. Govaert.

    Rmixmod: The R Package of the Model-Based Unsupervised, Supervised and Semi-Supervised Classification Mixmod Library, in: Journal of Statistical Software, December 2014, forthcoming.

    https://hal.archives-ouvertes.fr/hal-00919486
  • 12L. Montuelle, E. Le Pennec.

    Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approach, in: Electronic Journal of Statistics, September 2014, vol. 8, no 1, 35 p. [ DOI : 10.1214/14-EJS939 ]

    https://hal.inria.fr/hal-01101483
  • 13A. Rau, C. Maugis-Rabusseau, M.-L. Martin-Magniette, G. Celeux.

    Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models, in: Bioinformatics, 2015, 15 p. [ DOI : 10.1093/bioinformatics/btu845. ]

    https://hal.inria.fr/hal-01108821
  • 14T. Van Erven, J. Cugliari.

    Making Regional Forecast add up, in: Lecture Notes in Statistics: Modeling and Stochastic Learning for Forecasting in High Dimension, 2014.

    https://hal.inria.fr/hal-00943529

Articles in National Peer-Reviewed Journals

  • 15A. Antoniadis, X. Brossat, J. Cugliari, J.-M. Poggi.

    Une approche fonctionnelle pour la prévision non-paramétrique de la consommation d'électricité, in: Journal de la Société Française de Statistique, 2014, vol. 155, no 2, pp. 202- 219, ISSN: 2102-6238 - Open access.

    https://hal.inria.fr/hal-00942680

International Conferences with Proceedings

  • 16M. Gallopin, G. Celeux, F. Jaffrézic, A. Rau.

    A model selection criterion for unsupervised model-based clustering of annotated data: applications to the analysis of RNA-seq , in: XXVII International Biometric Conference, Florence, Italy, July 2014.

    https://hal.inria.fr/hal-01096332
  • 17R. Genuer, J.-M. Poggi, C. Tuleau-Malot.

    VSURF : un package R pour la sélection de variables à l'aide de forêts aléatoires, in: 46èmes Journées de Statistique, Rennes, France, 2014.

    https://hal.inria.fr/hal-01096233
  • 18C. Keribin, Y. Liu, T. Popova, Y. Rozenholc.

    Statistical quantification of genomic tumoral alterations with a mixture model, in: ERCIM 2014, Pisa, Italy, December 2014.

    https://hal.inria.fr/hal-01095984
  • 19L. Montuelle, E. Le Pennec.

    Agrégation PAC-bayésienne d'estimateurs par projection, in: 46e Journées de Statistique, Rennes, France, SFdS, June 2014.

    https://hal.inria.fr/hal-01097173

National Conferences with Proceedings

  • 20V. Brault, G. Celeux, C. Keribin.

    Implementation of the Gibbs sampler for the latent block model, in: 46èmes journées de statistique de la SFdS, Rennes, France, SFdS, June 2014.

    https://hal.inria.fr/hal-01090349
  • 21M. Gallopin, G. Celeux, F. Jaffrézic, A. Rau.

    Un critère de sélection de modèle pour la classification non supervisée de données annotées: applications à l'analyse de données d'expression de gènes RNA-seq, in: 46èmes Journées de Statistique de la SFdS, Rennes, France, June 2014.

    https://hal.inria.fr/hal-01096346

Conferences without Proceedings

  • 22R. Genuer, J.-M. Poggi, C. Tuleau-Malot.

    VSURF : un package R pour la sélection de variables à l'aide de forêts aléatoires, in: 3èmes Rencontres R, Montpellier, France, 2014.

    https://hal.inria.fr/hal-01096237
  • 23A. Torrado-Carvajal, A. Hernandez-Tamames J., L. Herraiz J., Y. Eryaman, Y. Rozenholc, E. Adalsteinsson, L. Wald, N. Malpica.

    A Multi-Atlas and Label Fusion Approach for Patient-Specific MRI Based Skull Segmentation, in: International Society for Magnetic Resonance in Medicine (ISMRM), Milan, Italy, May 2014.

    https://hal.archives-ouvertes.fr/hal-01108453

Scientific Books (or Scientific Book chapters)

  • 24P. Massart.

    A non asymptotic walk in probability and statistics, in: Past, Present, and Future of Statistical Science, X. Lin, C. Genest, D. L. Banks, G. Molenberghs, D. W. Scott, J.-L. Wang (editors), Chapman and Hall/CRC, 2014.

    https://hal.inria.fr/hal-00942827

Internal Reports

  • 25G. Celeux, V. Robert.

    Towards an objective team efficiency rate in basketball, July 2014, 19 p.

    https://hal.inria.fr/hal-01020295
  • 26M. Sedki, G. Celeux, C. Maugis.

    SelvarMix: A R package for variable selection in model-based clustering and discriminant analysis with a regularization approach, August 2014, 17 p.

    https://hal.inria.fr/hal-01053784

Other Publications



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