This workshop is associated with the new supplement of the journal Computational Statistics & Data Analysis, the Annals of Statistical Data Science (SDS). The workshop and the Annals of SDS are promoted by the CMStatistics network. The journals Computational Statistics & Data Analysis (CSDA) and Econometrics and Statistics (EcoSta) are the official publications of CMStatistics.
The Annals and the Workshop of Statistical Data Science will serve as an outlet for research using advanced computational and/or statistical methods for tackling challenging data analytic problems. They will become a valuable resource for well-founded theoretical and applied data-driven research. Significant computational or statistical methodological component for data analytics will be considered. In particular, contributions at the interface of computing, statistics addressing problems involving large and/or complex data are welcome. Emphasis is given to comprehensive and reproducible research, including data-driven methodology, algorithms and software.
Dates: 26 August - 28 August 2022 (Friday afternoon to Sunday afternoon)
Venue: Department of Statistical Sciences "Paolo Fortunati", University of Bologna, via delle Belle Arti, n.41, 40126 Bologna, Italy. The lecture rooms are on the second floor: Aula 3 and Aula 4.
The coffee breaks will be on the ground floor: Aula 2. The welcome reception will be in the inner garden.Organizers: CMStatistics, CSDA and EcoSta.
Local Organizing Committee and co-chairs: Ana Colubi, Erricos Kontoghiorghes, M. Brigida Ferraro, Marzia Freo, Alessandra Luati.
SPC: Elvezio Ronchetti, Ivan Kojadinovic, Bertrand Clarke, Xinyuan Song, Michele Guindani, Peter Winker, Chenlei Leng, Stefano Castruccio, Taps Maiti, Igor Pruenster, Hans-Georg Mueller, Juan Romo, Cheng Yong Tang, Jane-Ling Wang.
Peter Rousseeuw, KU Leuven, Belgium.
Patrick J. Wolfe, Purdue University, United States.
- SO004: Statistical data science (virtual)
Organizers: Maria Brigida Ferraro - SO006: Functional and object data analysis
Organizers: Jane-Ling Wang - SO008: Statistical learning for network data with applications
Organizers: Yousri Slaoui - SO010: Text based indicators in economics and finance
Organizers: Maria Brigida Ferraro, Peter Winker - SO012: Recent advances in dimension reduction and related methods
Organizers: Yuichi Mori, Hiroshi Yadohisa - SO015: Bayesian learning
Organizers: Igor Pruenster - SO019: Machine learning for spatial analysis
Organizers: Bertrand Clarke - SO021: Analytical challenges with complex data analysis
Organizers: Taps Maiti - SO023: Computational and methodological challenges in environmental data
Organizers: Stefano Castruccio - SO025: High-dimensional statistics
Organizers: Chenlei Leng - SO031: Models for the analysis and classification of heterogeneous data
Organizers: Geoffrey McLachlan - SO033: Nonasymptotic statistics and econometric
Organizers: Zhao Ren
The interactive programme provides a quick overview of the schedule of the workshop, with easy access to all the sessions including their location, the associated virtual rooms and the abstracts. All the workshop sessions are hybrid, so both in-person and virtual participation is feasible. To access the workshop virtually, please check here. Indications for speakers and chairs of the hybrid sessions can be found here.
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Alternatively you can check the static list of abstracts (optimized for Mozilla and Google Chrome) as well as the list of participants.