Cécile Durot

Contact

cecile.durot@parisnanterre.fr

Curriculum Vitae

Depuis 2011. Professeure des universités, Modal'x UMR 9023, université Paris Nanterre

Depuis 2020. Directrice du département de mathématiques et informatique de l'université Paris Nanterre (46 titulaires).

Depuis 2020. Membre élue du conseil académique (université Paris Nanterre) à la commission recherche, commission financière, vice-présidente du conseil disciplinaire compétent à l’égard des usagers. 

Depuis 2019. Membre élue du Conseil National des Universités (CNU) en 26-ème section.

Depuis 2018. Membre du conseil de laboratoire Modal’x, université Paris Nanterre.

2011-2021. Co-directrice du master ISEFAR de l'université Paris Nanterre. 

2012-2023. Membre élue du conseil d’UFR SEGMI de l’université Paris Nanterre.

Publications

• • Balabdaoui, F., Durot, C., & Jankowski, H. (2023). Behaviour of the monotone single index model under repeated measurements. Sankhya A, 85(1), 324-350.

  • Balabdaoui, F., Durot, C., et Fragneau, C. (2021). On the population least-squares criterion in the monotone single index model. Statistica Neerlandica, 75(4), 408-436.

  • Durot, C., & Musta, E. (2021). Uniform moment bounds for the standard estimators in the Cox proportional hazard model, Communications in Statistics - Theory and Methods, 1-21. DOI : 10.1080/03610926.2021.1873376

  • Balabdaoui, F., Doss, C. R., et Durot, C. (2021). Unlinked monotone regression. Journal of Machine Learning Research, 22, 172.

  •  Durot, C., & Musta, E. (2020). On the Lp error of the Grenander-type estimator in the Cox model. Statistica Neerlandica, 74(4), 559-591.

  •  Banerjee, M., & Durot, C. (2019). Circumventing superefficiency: An effective strategy for distributed computing in non-standard problems. Electronic journal of statistics, 13(1), 1926-1977.

  • Balabdaoui, F. ; Durot, C. et Jankowski H. (2019) Least squares estimation in the monotone single index model. Bernoulli, 25(4B), 3276-3310.

  •  Banerjee, M. ; Durot, C. et Sen, B. (2019). Divide and Conquer in Non-Standard Problems: The Super-Efficiency Phenomenon. Annals of Statistics, Vol. 47, 720-757.

  • Durot, C. et Lopuhaä, H. P. (2018). Limit Theory in Monotone Function Estimation. Statistical Science, Vol. 33, No. 4, 547-567.

  • Balabdaoui, F.; Durot, C. et Koladjo, F. (2018). Testing convexity of a discrete distribution. Statistic and probability letters, Vol 137, 8-13.

  • Durot C.; Giguelay J.; Huet S.; Koladjo F. et Robin S. (2017). Convex Estimation. In Capture and Recapture. Methods for Social and Medical Sciences. Dankmar Bohning, Peter G.M. Van der Heijden, John Bunge. Series: Chapman & Hall/CRC Interdisciplinary Statistics.

  • Balabdaoui, F.; Durot, C. et Koladjo, F. (2017). On asymptotics of the discrete convex LSE of a pmf. Bernoulli, Vol. 23, No. 3, 1449-1480.

  • Durot, C.; Huet, S.; Koladjo, F.; Robin, S. (2015). Nonparametric species richness estimation under convexity constraint. Environmetrics, 26, 502-513.

  • Balabdaoui, F. and Durot, C. (2015). Marshall Lemma in discrete convex estimation. Statistic and probability letters, 99, 143-148.

  • Durot, C. and Lopuhaä, R. (2014). A Kiefer-Wolfowitz type of result in a general setting, with an application to smooth monotone estimation. Electronic Journal of Statistics, Vol. 8, No. 2, 2479-2513.

  • Akakpo, N.; Balabdaoui, F.; Durot, C. (2014). Testing monotonicity via local least concave majorants. Bernoulli, Vol. 20, No. 2, 514-544.

  • Durot, C.; Groeneboom, P.; Lopuhaä, H.P. (2013). Testing equality of functions under monotonicity constraints. Nonparametric Journal of Statistics, 939-970.

  • Durot, C.; Huet, S.; Koladjo, F.; Robin, S. (2013). Least-squares estimation of a convex discrete distribution. Computational Statistics and Data Analysis, 282-298.

  • Durot, C.; Kulikov, V. et Lopuhaä, H.P. (2012). The limit distribution of the L∞-error of Grenander-type estimators. Ann. Statist. 40(3): 1578-1608.

  • Durot, C.; Huet, S.; Koladjo, F. et Robin, S. (2012). Estimation d’une distribution convexe discrète. Actes des 44èmes Journées de la SFdS, Bruxelles.

  • Akakpo, N.; Durot, C. (2010). Histogram selection based on possibly censored data. Math. Methods Statist. 19: 189-218.

  • Durot, C.; Reboul, L. (2010). Goodness-of-fit test for monotone functions. Scand. J. Statist. 37: 422-441.

  • Durot, C.; Lebarbier, E.; Tocquet, A.-S. (2009). Estimating the joint distribution of independent categorical variables via model selection. Bernoulli 15, 475-507.

  • Akakpo, N.; Durot, C. (2009). Sélection d’histogrammes dyadiques basée sur des données éventuellement censurées. Actes des 41èmes Journées de la SFdS, Bordeaux

  • Durot, C. (2008). Monotone nonparametric regression with random design. Math. Methods Statist. 17, 327-341.

  • Durot, C. (2008). Testing convexity or concavity of a cumulated hazard rate. IEEE Trans. Reliab. 57, 465-473.

  • Durot, C. (2007). On the Lp-error of monotonicity constrained estimators. Ann. Statist., 35(3): 1080–1104.

  • Durot, C.; Rozenholc, Y. (2006). An adaptive test for zero mean. Math. Methods Statist., 15(1): 26–60.

  • Durot, C.; Thiébot, K. (2006). Bootstrapping the shorth for regression. ESAIM Probab. Stat., 10: 216–235.

  • Durot, C.; Thiébot, K. (2005). Detecting atypical data in air pollution studies by using shorth intervals for regression. ESAIM Probab. Stat., 9: 230–240.

  • Durot, C. (2003). A Kolmogorov-type test for monotonicity of regression. Stat. Probab. Lett. 63: 425-433.

  • Durot, C.; Tocquet, A.-S. (2003). On the distance between the empirical process and its concave majorant in a monotone regression framework. Ann. Inst. Henri Poincaré, Probab. Stat. 39: 217-240.

  • Durot, C. (2002). Sharp asymptotics for isotonic regression. Probab. Theory Relat. Fields 122: 222-240.

  • Durot, C.; Tocquet, A.-S. (2001). Goodness of fit test for isotonic regression. ESAIM, Probab. Stat. 5: 119-140.