Preprints and papers to be published

• 2015:
  • Alain Celisse, Tristan Mary-Huard. New upper bounds on the k-nearest neighbor rule for classification.[Preprint]
  • Alain Celisse, Morgane Pierre-Jean, Guillemette Marot, and Guillem Rigaill. A new efficient algorithm for kernel change-point detection. [Preprint]
• 2014:
  • Alain Celisse. Optimal cross-validation in density estimation with the L2-loss. [Preprint]
  • Jérémie Kellner, Alain Celisse. New normality test in high dimension with kernel methods. [Preprint]
• 2013:
  • Quentin Grimonprez, Alain Celisse, Meyling Cheok, Martin Figeac, Guillemette Marot. MPAgenomics : An R package for multi-patients analysis of genomic markers. [Hal].
• 2012:
  • Alain Celisse, Tristan Mary-Huard. Tuning the k-nearest neighbour estimator by cross-validation in regression. Coming soon.
• 2011:
  • Alain Celisse. Optimal cross-validation in density estimation. [Preprint]   [Hal]   [arXiv]
  • Sylvain Arlot, Alain Celisse, and Zaid Harchaoui. Kernel change-point detection. [Preprint]   [Hal]
• 2010:
  • Alain Celisse, Tristan Mary-Huard. Exact Cross-Validation for kNN and applications to passive and active learning in classification. Preprint. [Preprint]   [Supplementary material]
  • Alain Celisse, Jean-Jacques Daudin, and Laurent Pierre. Consistency of maximum likelihood and variational estimators in stochastic block model. Preprint.
    [Hal]   [arXiv]
• 2009:
  • Sylvain Arlot, Alain Celisse. A survey of cross-validation procedures for model selection. Preprint.
    [Hal]   [arXiv]
  • Sylvain Arlot, Alain Celisse. Segmentation in the mean of heteroscedastic data by cross-validation. Preprint.
    [Hal]   [arXiv]
• 2008:
  • Alain Celisse. Model selection in density estimation via cross-validation. Preprint.
    [Hal]   [arXiv]
• 2007:
  • Alain Celisse, Stéphane Robin. A leave-p-out based estimation of the proportion of true null hypotheses. Preprint
    [Hal]   [arXiv]

Publications

• 2014:
  • Alain Celisse. Optimal cross-validation in density estimation with the L2-loss. Annals of Statistics, 42(5), 1879-1910.
    [Journal]
  • Quentin Grimonprez, Alain Celisse, Samuel Blanck, Meyling Cheok, Martin Figeac and Guillemette Marot. MPAgenomics: an R package for multi-patient analysis of genomic markers. BMC Bioinformatics,15(1), 394.
    [Journal]
• 2012:
  • Alain Celisse, Jean-Jacques Daudin, and Laurent Pierre. Consistency of maximum likelihood and variational estimators in stochastic block model. Electronic Journal of Statistics, 6, 1847-1899.
    [.pdf]  [Journal]
  • Alain Celisse, Tristan Mary-Huard. Exact Cross-Validation for kNN and applications to passive and active learning in classification. JSFdS, 52(3), 83-97. [Preprint]   [Supplementary material]   [Journal]
• 2011:
  • Sylvain Arlot, Alain Celisse. Segmentation of the mean of heteroscedastic data by cross-validation. Statistics and Computing, 21(4), 613-632.
    [Hal]   [arXiv]  [journal]
• 2010:
  • Sylvain Arlot, Alain Celisse. A survey of cross-validation procedures for model selection. Statistics Surveys, 2010, 4, 40-79 (electronic). DOI: 10.1214/09-SS054.
    [journal]
  • Alain Celisse, Stéphane Robin. A cross-validation based estimation of the proportion of true null hypotheses. J. Statist. Planning Inference, 2010 (electronic). DOI:10.1016/j.jspi.2010.04.014 .
    [journal]   [arXiv]
• 2009:
  • Mickael Guedj, Stéphane Robin, Alain Celisse and Gregory Nuel. kerfdr: A semi-parametric kernel-based approach to local FDR estimations. BMC Bioinformatics, 2009, 10:84 (electronic). DOI:10.1186/1471-2105-10-84 .
    [journal]
• 2008:
  • Alain Celisse, Stéphane Robin. Nonparametric density estimation by exact leave-p-out cross-validation. Computational Statistics and Data Analysis, 2008, 52, 5, 2350-2368 (electronic). DOI:10.1016/j.csda.2007.10.002 .
    [journal]

• (2008) Alain Celisse. Model selection via cross-validation in density estimation, regression, and change-point detection. Defended in December the 9th 2008.
  [summary]   [TEL]