CSDA & EcoSta Workshop on Statistical Data Science (SDS 2021)

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: 31 August - 2nd September 2022 (Tuesday afternoon to Thursday afternoon)

Venue: Department of Statistical Sciences "Paolo Fortunati", University of Bologna, via delle Belle Arti, n.41, 40126 Bologna, Italy.

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.

Keynote talks:
Geoffrey McLachlan, University of Queensland, Australia.
Peter Rousseeuw, KU Leuven, Belgium.
Patrick J. Wolfe, Purdue University, United States.

Organized Invited Sessions
  • SO004: Clustering of complex data structures
    Organizers: Maria Brigida Ferraro
  • SO006: Funcitonal and object data analysis
    Organizers: Jane-Ling Wang
  • SO008: Joint modeling of longitudinal and time-to-event data
    Organizers: Xinyuan Song
  • SO010: Text based indicators in economics and finance
    Organizers: Peter Winker
  • SO012: Recent advances in dimension reduction and related methods
    Organizers: Hiroshi Yadohisa, Yuichi Mori
  • SO015: Bayesian learning
    Organizers: Igor Pruenster
  • SO017: Methodological and computational aspects of sequential change point detection
    Organizers: Ivan Kojadinovic
  • SO019: Machine learning for spatial analysis
    Organizers: Bertrand Clarke
  • SO021: TBA
    Organizers: Taps Maiti
  • SO023: Contemporary computational and methodological challenges in environmental data
    Organizers: Stefano Castruccio
  • SO025: High-dimensional statistics
    Organizers: Chenlei Leng
  • SO027: Bayesian nonparametric and its applications
    Organizers: Michele Guindani
  • SO029: Densities as random objects
    Organizers: Hans-Georg Mueller
  • SO031: Flexible models for the analysis and classification of heterogeneous data
    Organizers: Geoffrey McLachlan
Programme
TBA