Farida Enikeeva, Ph.D.
Assistant Professor (Maître de Conférences)
University of Poitiers
Laboratoire de Mathématiques et Applications
Site du Futuroscope - Téléport 2
11 Boulevard Marie et Pierre Curie
Bâtiment H3 - TSA 61125
86073 Poitiers Cedex 9
E-mail: farida.enikeeva [at] math [dot] univ-poitiers.fr
I obtained my PhD degree in Probability and Statistics at Moscow State Univiersity in 2002. I have made a two-year postdoc in EURANDOM (the Netherlands), another two-year postdoc at Queen's Univiersity (Canada) before coming to France where I have spent 3 years as a postdoc at INRIA Grenoble, LJK and as ATER in Ensimag (Polytech Grenoble). Since 2014 I have a permanent position at the Univiersity of Poitiers. I am also holding a research position at the Institut for Information Transmission Problems (Moscow, Russia).
Non-parametric estimation and hypothesis testing
Statistical methods in bioinformatics
Statistical methods in security
Recent published and submitted papers
F. Enikeeva, A. Munk, M. Pohlmann, and F. Werner, Bump detection in the presence of dependency: Does it ease or does it load?, Bernoulli, 26(4):3280-3310, 2020 PDF
J.-M.Bardet, V.Brault, S.Dachian, B.Sausserau, and F.Enikeeva [editor], Change- point detection, segmentation, and related topics, ESAIM: Proceedings and Surveys, 68: 97–122, 2020 PDF
F. Enikeeva, Z. Harchaoui, High-dimensional change-point detection under sparse alternatives, Annals of Statistics, 47(4):2051–2079, 2019
F. Enikeeva, A.Munk, and F. Werner, Bump detection in heterogeneous Gaussian regression, Bernoulli, vol. 24(2):1266-1306, 2018 PDF
See the complete list of publications here.
Adaptive tests for polynomial regression against a general alternative, with T. Krivobokova (University of Vienne) and P. Serra (University of Amsterdam)
High-dimensional change-point detection from indirect observations, with A. Juditsky (LJK, Grenoble)
Testing the change in mean for long-range dependent data, with M. Clausel (University of Lorraine) and F. Roueff (Telecom ParisTech)
I am the head of the 1st year of Master program in Statistics for Life Sciences of the University of Poitiers.
I am currently teaching the Master level courses in Nonparametric Statistics, Statistical inference, Data Mining, Data Analysis and Machine Learning.