Bio

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).

Research interests

• Change-point problems

• Non-parametric estimation and hypothesis testing

• High-dimensional statistics

• 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.

Current Work

• 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)