In the frame of the « ERA Chair in Mathematical Statistics and Data Science – SanDAL », the University of Luxembourg 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

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)

Dates: From 7 to 11 December 2020

More information on: https://sandal.uni.lu/winter-school/

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