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)
National and Business Accounts for Sustainable Development Policies
The International Conference on Accounting & Assessment in Statistics (ICAAS) 2021 is a online conference, based on the overarching need to discuss ongoing developments on this topic in response to policy needs. ICAAS is held to address the issues of statistical methodologies and thematic applications in accounting and assessment. Discussions will focus on the new tools provision, particularly in the areas needed for sustainable development policies.
Several questions arise: which kind of information is needed for Sustainable Development? To what extent these information needs can be met by accounting in statistics? Which data are already available and which missing data should be collected? Which are the statistical issues to be addressed and the limits of this approach? Which are the best experiences and practices developed in this area? These and further issues in methodological and applied statistics: contributions are expected on both these areas.
The Luxembourg Statistical Society (LSS) is organizing the event with the support of FENStatS, Statec, Eurostat, University of Luxembourg, PWC-Luxembourg and the IARNIW of India.
Date: Monday 31 May to Friday 4 June 2021
Further information: ICAAS ONLINE CONFERENCE
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
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/