Winter School on Mathematical Statistics

Save the date: 7 to 11 December 2020

The ERA Chair Team organises an online Winter School on Mathematical Statistics from 7 to 11 December 2020. This school is aimed at young researchers (PhD students and early postdocs) and practitioners alike and offers an excellent opportunity to learn about recent and important developments in mathematical statistics directly from leaders in their respective fields.

Some PhD students and postdocs (from the University of Luxembourg and abroad) will have the opportunity to present their work in a 30-minute talk. As the number of places is limited, we shall make a selection among the proposals.


The following three courses will be offered:

Non-parametric Inference under Local Differential Privacy
Cristina Butucea (CREST ENSAE, Université ParisTech)

Principal Component Analysis: some recent results and applications
Karim Lounici (CMAP-Ecole Polytechnique)

Statistical inference of incomplete data models to analyse ecological networks
Stéphane Robin (AgroParisTech/INRA/univ. Paris Saclay & Muséum National d’Histoire Naturelle)


Local organisers are Yannick Baraud and Simon Campese from the Department of Mathematics at the University of Luxembourg. Any question? Contact


2 ECTS can be awarded to the University of Luxembourg’s doctoral candidates, who :

  • Will be selected to present their Thesis work during the Winter School and will write a summary report about their preferred course; or
  • Will write a summary report about the 3 courses (upon organizer’s approval and control).