Christophe Giraud

Professor at Paris Sud University

I contribute to the understanding of some fundamental problems in statistics, the analysis of some popular algorithms and the design of some new ones. I also collaborate with some biologists for developing some new data analysis schemes.


I am in charge of the Master 2 programs Maths for Life Sciences and Statistics & Machine Learning. I am also in charge of the LMH-MSV branch of the labex LMH and I am involved in the steering of the Chaire Mathématiques Modélisation Biodiversité.

I am Associate Professor at Ecole Polytechnique, Adjunct Professor at Cornell University and Associate Editor for JASA.

PhD Students



  • Introduction to High-Dimensional Statistics
Share your own solutions to the exercises on the wiki-site


  • PECOK: a convex optimization approach to variable clustering. (with F. Bunea, M. Royer, N. Verzelen) [arXiv].
  • Community estimation in G-models via CORD. (with F. Bunea and X. Luo) [arXiv].
  • A pseudo-RIP for multivariate regression (short note) [pdf file].


  • Bayesian estimation of species relative abundances and habitat preferences using opportunistic data (with C. Coron, C. Calenge and R. Julliard) Environ Ecol Stat (2018) 25: 71. [Link].
  • Capitalizing on opportunistic data for monitoring relative species abundances. (with C. Calenge, C. Coron and R. Julliard) Biometrics 2016 72(2), 649-58. [arXiv].
  • Aggregation of predictors for non stationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes. (with F. Roueff and A. Sanchez-Perez) Annals of Statistics 2015, Vol. 43, No. 6, 2412-2450. [arXiv].
  • A quantitative framework for investigating risk of deadly collisions between marine wildlife and boats (with Q. Sabatier, J. Martin, et al.) Methods in Ecology and Evolution (2016) Volume 7, Issue 1, pages 42–50.
  • Hybridization within Saccharomyces Genus Results in Homoeostasis and Phenotypic Novelty in Winemaking Conditions. ( with T. da Silva , W. Albertin , C. Dillmann, M. Bely, S. la Guerche, C. Giraud, S. Huet, D. Sicard, I. Masneuf-Pomarede, D. de Vienne, P. Marullo) PloS ONE 10(5) Open Access
  • The spatial distribution of Mustelidae in France. (with C. Calenge, J. Chadoeuf, S. Huet, R. Julliard, P. Monestiez, J. Piffady, D. Pinaud, S. Ruette) PLoS ONE 10(3). Open Access
  • Estimator selection in the Gaussian setting. (with Y. Baraud and S. Huet) Annales de l'IHP (2014), Vol. 50, No. 3, pp. 1092-1119. [Download preprint].
  • Yeast Proteome Variations Reveal Different Adaptive Responses to Grape Must Fermentation. (with M. Blein-Nicolas, W. Albertin, B. Valot, P. Marullo, D. Sicard, S. Huet, A. Bourgais, C. Dillmann, D. de Vienne, M. Zivy) Mol Biol Evol. 2013 Jun;30(6):1368-83. [link]
  • Delimiting synchronous populations from monitoring data. (with R. Julliard and E. Porcher) Environmental and Ecological Statistics Vol. 20 (2013), no 3, pp. 337--352. [pdf] .
  • Including shared peptides for estimating protein abundances: a significant improvement for quantitative proteomics. (with M. Blein-Nicolas, H. Xu, D. De Vienne, S. Huet, M. Zivy) Proteomics. (2012) Sep;12(18), pp. 2797--801 [link]
  • High-dimensional regression with unknown variance (with S. Huet and N. Verzelen) Statist. Sci. Volume 27, Number 4 (2012), 500--518. [pdf file] et [Slides].
  • Discussion of "Latent variable graphical model selection via convex optimization" (with A. Tsybakov) Annals of Statistics (2012), v.40, 1984-1988. [pdf file].
  • Graph selection with GGMselect. (with S. Huet and N. Verzelen) Statistical Applications in Genetics and Molecular Biology. Vol. 11 (2012), no3, 1--50. download preprint and the R package GGMselect.
  • Detecting long distance conditional correlations between anatomical regions using Gaussian Graphical Models (with S. Allassonniere and P. Jolivet) Proceeding of MFCA (2011), Toronto, 111--122 [pdf file].
  • Low rank multivariate regression. Electronic Journal of Statistics, Vol. 5 (2011), 775--799. Article (open access), and Download KF R-code.
  • Gaussian model selection with unknown variance. (avec Y. Baraud et S. Huet) Annals of Statistics, Vol. 37 (2009), no2, 630--672. download article, full paper et Slides
  • Mixing Least-square estimators when the variance is unknown. Bernoulli 14, no.4 (2008) 1089--1107. [Download] / Slides
  • Estimation of Gaussian graph by model selection. Electronic Journal of Statistics, Vol. 2 (2008), 542--563. Article (open access) and Slides
  • Gravitational clustering and additive coalescence. Stoch. Proc. Appl. 115 (2005), no. 8, 1302--1322 (download preprint)
  • On the convex hull of a Brownian excursion with parabolic drift. Stoch. Proc. Appl. 106 (2003), no. 1, 41--62 (download preprint)
  • On a shock front in Burgers turbulence. J. Statist. Phys. 111 (2003), no. 1-2, 387--402 (download preprint)
  • Some properties of Burgers turbulence with white noise initial conditions. Probabilistic Methods in Fluids, 161--178, World Scientific Publisher (2003) (download preprint)
  • On regular points in Burgers turbulence with stable noise initial data. Ann. Inst. H. Poincaré Probab. Statist. 38 (2002), no. 2, 229--251 (download preprint)
  • Clustering in a self-gravitating one-dimensional gas at zero temperature. J. Statist. Phys. 105 (2001), no. 3-4, 585--604 (download preprint)
  • Statistics of a flux in Burgers turbulence with one-sided Brownian initial data. (En collaboration avec J. Bertoin et Y. Isozaki) Comm. Math. Phys. 224 (2001), no. 2, 551--564 (download preprint)
  • Genealogy of shocks in Burgers turbulence with white noise initial velocity. Comm. Math. Phys. 223 (2001), no. 1, 67--86 (download preprint)
  • Turbulence de Burgers et agrégation de particules lorsque l'état initial est aléatoire.: thèse de doctorat (Ph D Thesis)


Lecture Notes

  • Fondements mathématiques de l'apprentissage statistique. Journées mathématiques X-UPS 2012. Editions de l'Ecole Polytechnique [pdf file]
  • Stochastic Calculus [pdf file]
  • Martingales pour la finance. Livre pédagogique, preprint [pdf file]


  • C. Calenge, M. Albaret, F. Léger, J.-M. Vandel, J. Chadoeuf, C. Giraud, S. Huet, R. Julliard, P. Monestiez, J. Piffady, D. Pinaud, and S. Ruette. Premieres cartes d'abondance relative de six mustélidés en france: modélisation des données collectées dans les « carnets de bord petits carnivores » de l'ONCFS. Faune Sauvage, (130): 17, 2016.
  • Mathématiques pour la planète terre. Ouvrage collectif. Nouveau Monde Edition, 2014.



Ecole Polytechnique

  • MAP311 Probabilités.
  • MAP433 Statistiques.
  • MAP553 Apprentissage statistique.
  • MAP563 Modèles aléatoires en écologie et évolution.
  • MAP574 Méthodes statistiques pour la biologie et l'écologie.
  • MAP594 Stages d'options "modélisation probabiliste et statistiques".

Master Maths of University of the Philippines Diliman


Academic Positions

Since 2012: Professor at Université Paris Sud (Orsay) and Associate Professor at Ecole Polytechnique
2008-2012 : Professeur chargé de cours at Ecole Polytechnique
2007-2008 : Research fellow at INRA Jouy-en-Josas
2002-2008: Maître de conférences at Université de Nice Sophia-Antipolis


2011: Habilitation à diriger des recherche from Université Paris XI
2001: PhD in Mathematics from Université Paris VI (supervisor: Jean Bertoin)
1996-2000: Student from Ecole Normale Supérieure de Paris


Office: 3A7
Adress: Institut de Mathématiques d'Orsay, Université Paris-Sud, F-91405 Orsay Cedex, FRANCE
Phone: (+33) 1 69 15 60 29