IASC Invited Session: High-dimensional Data and Statistical Learning

Chair: Francesco Palumbo (IASC)

Solicited Session: Advances in Spectral Clustering

Chair: Giorgia Zaccaria

Solicited Session: New Advances in Statistical Learning

Chair: Marialuisa Restaino

Contributed Session: Model-based Clustering I

Contributed Session: Compositional Data Analysis

GFKL Invited Session: Data-driven Models for Bioinformatics and System Biology

Chair: Hans Kestler (GFKL)

Invited Session: Robust Multivariate Methodologies

Chair: Claudio Agostinelli

SKAD Invited Session: Network-Based Modeling of Nonlinear Dependencies in Financial Systems

Chair: Maciej Denkowski

Solicited Session: Compositional Data

Chair: Anna Fiori

Solicited Session: Classification in Social Sciences

Chair: Andrea Marletta

CS Invited Session: Tackling Complexity with Mixture Modeling Approaches

Chair: Cristina Tortora

BDSS Invited Session: Cluster Validation

Chair: Julia Handl / Christian Hennig

SEIO-AMyC Invited Session: Variable Selection and Influence in Classification Problems

Chair: Aurea Grané

Invited Session: Advances in Second Generation Functional Data Analysis for High Dimensional Structures

Chair: Rosalba Ignaccolo

Solicited Session: Advances in Bayesian Computation and Inference

Chair: Tommaso Rigon

SSS Invited Session: Network Clustering and Blockmodeling I

Chair: Anuška Ferligoj

SDS Invited Session: From Data to Insights: The Explainability–Predictability Trade-Off

Chair: Paola Cerchiello (SDS-SIS Group) Discussant: Arianna Agosto

SEIO-AMyC Invited Session: New Tools and Methods for Complex Datasets

Chair: Eva Boj

Solicited Session: Clustering of Complex Data Structures

Chair: Marta Nai Ruscone

Invited Session: Advances in Learning from Complex Contaminated Data

Chair: Andrea Cappozzo

CLAD Invited Session: Clustering and Classification in Practice

Chair: Carlos Ferreira

Solicited Session: Classification in Economics

Chair: Mariangela Zenga

Solicited Session: Advances in Bayesian Inference I – Modeling Latent Structures in Complex Data

Chair: Riccardo Corradin

Invited Session: Advances in Functional and Multivariate Data Modeling

Chair: Luigi Augugliaro

Invited Session: Object Oriented Spatial Statistics

Chair: Piercesare Secchi

IMS Invited Session: New Aspects of Data Science and Discovery

Chair: Regina Liu

SFdS and EGC Invited Session: Conceptual and Algorithmic Advances in Clustering

Chair: Christophe Biernacki

Solicited Session: Statistical Methods for Heterogeneous Data in Political and Biomedical Sciences

Chair: Roberto Ascari

Invited Session: Clustering Longitudinal Categorical Data

Chair: Raffaella Piccarreta

Invited Session: Models and Computational Aspects for High-Dimensional and Complex Data

Chair: Anuradha Roy

Solicited Session: Advances in Hidden Markov Models

Chair: Antonio Punzo

VOC Invited Session: Recent Developments in Tree-based Methods

Chair: Mark de Rooij

Invited Session: Advances in Clustering

Chair: Agustin Mayo Iscar

Invited Session: Advances in Robust Statistics: New Methods for New Challenges

Chair: Fabio Centofanti

Invited Session: Advances in Model-Based Clustering

Chair: Luca Scrucca

ISBIS Invited Session: Advances in Clustering and Classification for Business and Industrial Data

Chair: Adalbert Wilhelm

Solicited Session: Methodological and Computational Developments in Latent Variable Models

Chair: Luca Brusa

SFC Invited session: Hierarchical and Overlapping Clustering Systems: New Theoretical Developments and Applications

Chair: Jean Diatta

Contributed Session: Applications in Economics and Social Science

Contributed Session: Advances in Unsupervised Learning

Contributed Session: Classification and Pattern Recognition

Contributed Session: Model-based Clustering II

Contributed Session: Multivariate Data Modeling

Invited Session: Advances in Finite Mixture Models

Chair: Roberto Rocci

Invited Session: Network Clustering and Blockmodeling II

Chair: Riccardo Rastelli

IASE Invited Session: Data Science Teaching and Learning

Chair: Daniel Frischemeier

Solicited Session: Symbolic Data Analysis: Connecting Concepts and Complex Data

Chair: Sónia Dias

Contributed Session: Clustering and Classification

Contributed Session: Advanced Statistical Methods for Complex Data Analysis

JCS Invited Session: Statistical Modeling and Dimensionality Reduction

Chair: Yoshiro Yamamoto

MDAG Invited Session: Multivariate Visualization in Action

Chair: Raeesa Ganey

Invited Session: Advances in Symbolic Data Analysis

Chair: Paula Brito

Solicited Session: Latent Variable and Clustering Models for High-Dimensional and Complex Data

Chair: Michael Fop

GSDA Invited Session: Classification, Dimensionality Reduction and Clustering for Mixed-Type Data

Chair: Angelos Markos

VOC Invited Session: Interpretable Machine Learning: Inference, Interactions and Causality

Chair: Marjolein Fokkema

Invited Session: Graphical Models and Statistical Learning for Network Data

Chair: Gianluca Sottile

Invited Session: SAFE Artificial Intelligence

Chair: Marco Riani

Solicited Session: Advances in Bayesian Inference II – Structured Probabilistic Model

Chair: Riccardo Corradin

y-SIS Solicited Session: Model-Based Clustering

Chair: Jaromir Sant

Solicited Session: Statistical Learning of Preferences: Rankings, Partial Orders, Ratings, and Clustering

Chair: Antonio D’Ambrosio

CLADAG Invited Session: Advances in Latent Structure Modeling

Chair: Marco Ortu

Contributed Session: Functional and Longitudinal Data Modeling

Contributed Session: Spatial and Spatio-Temporal Data Analysis

Contributed Session: Visualization and Dimension Reduction

Contributed Session: Robust and Fuzzy Statistical Methods

Contributed Session: Probabilistic and Statistical Methods for Health Data

Contributed Session: Statistical Learning and Data Mining