IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense. The workshop aims to involve both academic and professional statisticians and data analysts with a particular focus on real data problems which involve an element of novel statistical modelling, or novel model application.
The atmosphere of the workshop is friendly and supportive, with no parallel sessions, with the aim of stimulating the exchange of ideas and experiences related to statistical modelling.
Papers focusing on applications with important substantive implications as well as methodological issues are welcome, including new developments in Data Science. Submissions by students and young researchers are particularly encouraged.
The SMS and IWSM strongly encourage students to submit posters and papers: best posters, papers and presentations from students will compete for some great awards!
IWSM 2022 is also sponsored by the Italian Statistical Society (SIS).
New information about the 36th IWSM will be continuously added on this website.
Note: this Conference is going to be in presence, so in case of the persistence of Covid-19 Pandemic the Conference will not be held online.
Please, note that according to the Italian Governament laws, from April 30th the Green Pass for Covid-19 will be not required.
If you have any questions or comments, please contact us at email@example.com.
EXTENDED DEADLINE FOR ABSTRACT SUBMISSION: 18 APRIL
EXTENDED NOTIFICATION OF REVIEW/ACCEPTANCE: 17 MAY
University of Munich
The research activities of Prof. Czado (born 1959) concentrate on the field of statistics and data science. Her focus is on the modeling of complex dependencies including regression effects and time / space structures with the help of Vine copula-based models. See Vine Copula Models for further details and developments. These allow the construction of high-dimensional multivariate distributions for data that contain different asymmetrical dependencies for each pair of variables. Computer-aided procedures for selection, estimation and adaptation to complex data structures are developed / optimized. Applications can be found in finance and insurance as well as in engineering, geosciences and life sciences. There are a number of collaborations with various international scientists and industry representatives. In 2019 Prof. Czado published a textbook on analyzing dependent data with Vine copulas.
Swiss Federal Institute of Technology
Anthony Davison has published on a wide range of topics in statistical theory and methods, and on environmental, biological and financial applications. His main research interests are statistics of extremes, likelihood asymptotics, bootstrap and other resampling methods, and statistical modelling, with a particular focus on the first currently.
University of Padova
Associate Professor at the University of Padova since 03/2020.
Interested in Bayesian Nonparametrics, Functional data analysis, multiscale methods, data science, machine learning, extreme value analysis, applied statistics.
The conference will be hosted in the building of the Department of Economics, Busines, Mathematics and Statistics “Bruno de Finetti” of the University of Trieste located in the University Campus. A brand new room with 280 seats is available.