It is my pleasure to invite you to our first LSS Presentation of 2021, to take place on March 4, from 8pm – 9pm via Microsoft Teams . The talk will be given by Françoise Kemp from the University of Luxembourg. She got a Master in Applied Mathematics from the University of Trier in 2018, and is now doing a PhD in Systems Biomedicine at the Luxembourg Center for Systems Biomedicine, and is Member of the COVID-19 Taskforce Research Luxembourg
Against the current COVID-19 pandemic, non-pharmaceutical interventions have been widely applied; vaccines are also becoming available. Now, an urgent question is how the interplay between vaccination strategies and social measures will shape infections, hospital demand and casualties. Hence, we extend the Susceptible-Exposed-Infectious-Removed (SEIR) model to include vaccination, ICU, hospital and death. We calibrate it to data of Luxembourg, Austria and Sweden. The model quantifies the vaccination rate needed for herd immunity by desired times. Aiming to vaccinate the whole population within 1 year at a constant rate could lead to herd immunity only by mid-summer. Herd immunity might not be reached in 2021 if too slow vaccines roll-out speeds, which we quantify, are employed. Vaccination will help considerably, but not immediately, thus social measures still remain crucial for months.
Date: 4 March 2021
Place: Microsoft Teams
Registration: please register by sending an email to Michela Bia (email@example.com)
It is our pleasure to announce that the International Conference on Statistics and Related Fields (ICON STARF) will take place between 12 and 16 July 2021 at the University of Luxembourg, on Belval campus. The conference will cover the fields of mathematical statistics, signal processing, statistical learning, probability, approximation theory, and other areas that contribute to the mathematical development of data science.
Our aim is to bring together young researchers and experts of these fields. Lectures will be given by leading international researchers from all over the world (China, France, Germany, the Netherlands, the United Kingdom, the United States, etc.). We shall allow time for discussion and stimulate scientific exchanges among participants. Registration fees are low and financial support for travel and accommodation is available for doctoral students, post-docs and young researchers.
ICON STARF international conference is an initiative of the SanDAL project funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 811017. The University of Luxembourg has been awarded the SanDAL project to set up a new ERA Chair in mathematics and statistics.
Date: 12-16 July 2021
Place: University of Luxembourg, Belval Campus, Maison du Savoir
2, avenue de l’Université, L-4365 Esch-sur-Alzette
Registration: please register before 1 June 2021 via this link
Further information: https://sandal.uni.lu/international-conference
On Thursday, 10 December 2020, at 13:00, the Luxembourg Statistical Society is proud to welcome Michela Bia for a seminar on « The long-run effect of childhood poverty and the mediating role of education ».
Ms Michela Bia is secretary of the LSS and she works as researcher at LISER.
The manuscript, co-authored with Luna Bellani, has been published last year on the Journal of the Royal Statistical Society (Statistics in Society) Series A, 2019, vol. 182, n°1, pp. 37-69 .
The seminar will be held online and the link to the presentation wills provided on request.
The study examines the role of education as a causal channel through which growing up poor affects the economic outcomes in adulthood in the European Union. We apply a potential outcomes approach to quantify those effects and we provide a sensitivity analysis on possible unobserved confounders, such as child ability. Our estimates indicate that being poor in childhood significantly decreases the level of income in adulthood and increases the average probability of being poor. Moreover, our results reveal a significant role of education in this intergenerational transmission. These results are particularly relevant for Mediterranean and central and eastern European countries.
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/