Invited Sessions
Differential privacy and robust classification. Organizers: Claudio Agostinelli and Anand Vidyashankar.
Scalable Gaussian processes and networks for fraud detection. Oranizer: Angelos Alexopoulos.
Robustness and cellwise outliers. Organizer: Andreas Alfons.
Variable selection in complex settings. Organizer: Silvia Bacci.
Complex latent class modeling. Organizers: Zsuzsa Bakk and Johan Lyrvall.
Scalable estimation of large-scale models. Organizer: Ruggero Bellio.
Symbolic Data Analysis. Organizer: Paula Brito.
Advances in clustering and classification for mixed data. Organizer: Carlo Cavicchia.
New statistical approaches in life courses studies. Organizers: Dalit Contini and Giancarlo Ragozini. Session organized by AISP – Italian Association for Population Studies.
Statistical challenges and novel applications in household economics. Organizers: Małgorzata Ćwiek, Paweł Ulman.
Latent variable models for complex data. Organizer: Katrijn Van Deun.
Latent variable models for complex dependency structures. Organizers: Roberto Di Mari and Matteo Farné.
Advances in clustering algorithms: contrastive hierarchical approaches and dynamic time warping. Organizers: Anna Denkowska and Stanisław Wanat.
Advances in directional statistics. Organizers: Stefania Fensore and Marco Di Marzio.
Advances in text mining for data analysis. Organizer: Luca Frigau.
Advances in robust clustering. Organizer: Luis Angel García-Escudero
Preference data. Organizer: José Luis García-Lapresta.
S.A.F.E. machine learning. Organizer: Paolo Giudici.
Statistical perspectives on fairness in classification algorithms. Organizer: Anna Gottard.
Subjective assessments of the financial situation of Polish households and their savings. Organizers: Małgorzata Grzywińska-Rąpca and Aneta Ptak-Chmielewska.
Statistical challenges in graph neural networks. Organizer: Mario Rosario Guarracino.
Biclustering: methodologies and applications. Organizer: Jos Hageman.
Financial data analysis. Organizer: Carmela Iorio.
Complex environmental data. Organizers: Francesco Lagona and Laura Sangalli. Session organized by GRASPA – the Italian environmetricians group of the Italian Statistical Society.
Analysis of teaching and research activity of higher education institutions. Organizers: Paweł Lula and Miladin Stefanovic.
Bayesian approaches in model-based clustering. Organizer: Gertraud Malsiner-Walli.
Nonparametric estimation of latent variable models. Organizer: Matthieu Marbac.
Advances in Model-Based Clustering. Organizer: Paul McNicholas.
Recent developments in finite mixture modeling. Organizer: Volodymyr Melnykov.
Data-driven classification and statistical modeling for tackling environmental challenges. Organizer: Luca Merlo.
Advanced clustering methods for complex data. Organizer: Marta Nai Ruscone.
Data science applications for environmental quality control and sustainability. Organizer: Monica Palma. Session organized by SVQS – the Statistics for the Evaluation and Quality in Services group of the Italian Statistical Society.
Analysis of complex data. Organizer: Domenico Perrotta.
Trimming based robustness. Organizer: Marco Riani.
Statistical approaches for measuring and analysing educational imbalance. Organizer: Rosaria Romano.
Sport analytics. Organizer: Michel van de Velden.
Data-driven decision making. Organizer: Tim Verdonck.
Classification for biomedical data. Organizer: Cinzia Viroli.
Advances in preference learning. Organizer: Valeria Vitelli.
Advanced methods for cellwise outlier detection. Organizer: Giorgia Zaccaria. Session organized by y-SIS – the Young Group of the Italian Statistical Society.