Luxembourg Statistical Society would like to promote the talks by Mark Podolskij on “New developments in high dimensional statistics” organised by the University of Luxembourg. This talks will take place on Tuesday 8th February at 11:00 AM and will be organized at Maison du Savoir, Room 3.370, Belval Campus.
Mark Podolskij is a full professor in financial mathematics at the departments of mathematics and finance. He has obtained his PhD in 2006 at the University of Bochum and held professor positions at the University of Heidelberg (2010-2014) and University of Aarhus (2014-2020). His research is focusing on statistical and probabilistic analysis of stochastic processes with applications to finance and physics. He currently holds an ERC Consolidator Grant « Statistical methods for high dimensional diffusions »..
In his talk, Mark Podolskij will present the challenges in high dimensional statistics and some new developments in the field. After the presentation of the main concepts and mathematical problems, he will focus on recent high dimensional theory for stochastic processes. Applications in finance will be discussed
Date: 8 February 2022 Time: 11:00 Place: Maison du savoir, room 3.370, Belval Campus Fee: free Registration: mandatory at firstname.lastname@example.org
The Luxembourg Statistical Society would like to promote the talks by Stephen Seen and Dr. Holly Jane on “Design and analysis of COVID vaccine trials : the familiar and the strange” organised by the Société Française de Statistique (SFdS). These talks will take place on Friday 3rd December at 5:00 PM and will be hosted online.
Dr. Holly Jane is a biostatistician working on the design and analysis of vaccine studies, with a particular expertise in HIV and COVID prevention and vaccine science. She is co-PI of the Statisics and Data Management Center of the HIV Vaccine Trials Network and a key investigator in the newly-formed USG-funded COVID Prevention Network.
Stephen Senn is consultant Statistician, worked in the pharmaceutical industry, in the National Health Service, further education and medical research, specialized in statistical methods for designing and analysing drug development programmes and clinical trials
Stephen Senn will start by giving a general presentation on the trials performed to evaluate COVID19 vaccines, discussing some choices such as sequential approach, 2:1 allocation, frequentist vs Bayesian.
Then Dr. Holly Janes will go deeper on some aspects such as choosing appropriate endpoints and long-term-assessment of vaccine efficacy with emergence of new variants.
Date: 3 December 2021 Time: 17:00 Place: online Fee: free Registration: please register on SFdS website
The Luxembourg Statistical Society would like to invite you to the talk by Prof. Conchita d’Ambrosio on “Maternal depression and child human capital: an instrumental approach”. The talk will take place on Friday 12th November at 12:30 PM and will be hosted online.
Prof. Conchita d’Ambrosio has been Professor of Economics at the University of Luxembourg since 2013. Before joining the University of Luxembourg, Prof. D’Ambrosio was Associate Professor of Economics at the University of Milano-Biococca. Her research mainly focuses on income and wealth distributions, deprivation, polarization and social exclusion
In her talk Prof. D’Ambrosio will address the causal relationship between maternal depression and child human capital using UK cohort data. The study exploits conditionally exogenous variation in mothers’ genomes in an instrumental-variable approach and describes the conditions under which mother’s genetic variants can be used as valid instruments.
Date: 12 November 2021 Time: 12:30-13:30 Place: online Fee: free Registration: please register by sending an email to Agnieszka Walczak (email@example.com)
This is the story of my assorted attempts to do some good with machine learning. Through its telling, I’ll highlight several models of organizing social good efforts, describe half a dozen social good problems that would benefit from our community’s attention, and present both resources and challenges for those looking to do some good with ML.
Date: 4 June 2021 Time: 20:00-21:30 Place: Microsoft Teams Fee: Free Registration: please register by sending an email to Michela Bia (firstname.lastname@example.org)
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 Place: online Fee: free
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 Time: 09:00-16:00 Place: University of Luxembourg, Belval Campus, Maison du Savoir 2, avenue de l’Université, L-4365 Esch-sur-Alzette Fee: 60€ Registration: please register before 1 June 2021 via this link
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)