Conference Program
A printable PDF version of the conference program is available HERE.
Day 1 - Monday, September 8
08:00
Registration Desk Opens
10:50 – 11:20
Open Ceremony – Room Carlo Ciliberto (Aula Rossa)
Opening ceremony
11:30 – 13:30
Latent variable models for complex dependency structures - Room Carlo Ciliberto (Aula Rossa)
Organizers: Roberto Di Mari and Matteo Farnè (Invited Session Group 1)
Chair: Matteo Farnè
- Dylan Molenaar: Relating Violations of Measurement Invariance to Group Differences in Response Times
- Roberto Di Mari, Matteo Farnè and Angelos Vouldis: endogeNOVA: a Latent Variable Approach to Assess Endogenous Bank Performance from ECB Supervisory Data
- Francesco Lagona and Marco Mingione: Copula-Based Hidden Semi-Markov Model for Cylindrical Time Series
- Jouni Kuha and Zsuzsa Bakk: Two-Step Estimation of latent trait models
Recent Developments in Finite Mixture Modeling - Room Lorenzo Mangoni (Aula Azzurra)
Organizer: Volodymir Melnykov (Invited Session Group 1)
Chair: Volodymir Melnykov
- Volodymyr Melnykov and Salvatore Ingrassia: Fitting Gaussian Mixture Models with Uncertain Number of Components
- Marta Nai Ruscone: Mixture-Based Clustering for Ordinal Responses
- Ganesh Babu, Aoife Gowen, Michael Fop and Isobel Claire Gormley: Consensus, Constrained Parsimonious Gaussian Mixture Models: Labelling Pixels in Hyperspectral Images
- Katharine Clark and Paul McNicholas: Dealing With Outliers in Model-Based Clustering
Complex Latent Class Modeling - Room E1
Organizers: Zsuzsa Bakk and Johan Lyrvall (Invited Session Group 1)
Chair: Johan Lyrvall
- Yuqi Liu, Zsuzsa Bakk, Ethan M. McCormick and Mark de Rooij: A Two-Step Estimator for Growth Mixture Models with Covariates in the Presence of Direct Effects
- Christophe Biernacki and Violaine Courrier: Guided Clustering Variational Autoencoder
- Felix Clouth: Causal Structural Models for Stepwise Latent Class Analysis
- Silvia Bacci, Rosa Fabbricatore and Maria Iannario: A Latent Variable Approach for Joint Modeling of Item Responses, Response Times, and Item Position in Educational Testing
New Statistical Approaches in Life Courses Studies - Room E2
Organizers: Dalit Contini and Giancarlo Ragozini (Invited Session Group 1)
Chair: Giancarlo Ragozini
Discussant: TBA
- Vincenzo Giuseppe Genova, Maria Prosperina Vitale, Giuseppe Giordano and Giancarlo Ragozini: Exploring Student Mobility Trajectories in Higher Education During the Covid-19 Pandemic
- Cristian Usala, Mariano Porcu and Isabella Sulis: Local Educational Supply and University Choice: Insights From Italy
- Chiara Chiavenna and Alessia Melegaro: Vaccination Timeliness as a Life Course Process: Patterns and Heterogeneity
Safe Machine Learning - Room E3
Organizer: Paolo Giudici (Invited Session Group 1)
Chair: Paolo Giudici
Discussant: Paolo Giudici
- Alessandro Piergallini and Paolo Giudici: Safe Financial Time Series Agents
- Emanuela Raffinetti: An Holistic Trustworthiness Assessment of AI Systems: the SAFEtyvalue
- Gennaro Auricchio, Paolo Giudici and Giuseppe Toscani: The Gini Index as a Multivariate Coefficient of Variation
Trimming Based Robustness - Room E4
Organizer: Marco Riani (Invited Session Group 1)
Chair: Marco Riani
Discussant: Luis Angel García-Escudero
- Mia Hubert, Fabio Centofanti and Peter Rousseeuw: Robust Principal Components by Casewise and Cellwise Weighting
- Andrea Cerioli, Luis Angel Garcia-Escudero, Agustin Mayo-Iscar, Domenico Perrotta and Francesca Torti: Robust Data Analysis and Clustering Under Heavy Tails
- Anthony Atkinson, Marco Riani, Gianluca Morelli and Aldo Corbellini: Robust Regression Analysis with Graphics: An Example from Marketing
Scalable Estimation of Large-Scale Models - Room E5
Organizer: Ruggero Bellio (Invited Session Group 1)
Chair: Ruggero Bellio
- Omiros Papaspiliopoulos and Max Goplerud: Hierarchical Item Response Theory
- Maria-Pia Victoria Feser, Giuseppe Alfonzetti and Stephane Guerrier: Fast M-Estimation for Exploratory Generalized Linear Latent Variable Models in High Dimensions
- Giuseppe Alfonzetti, Ruggero Bellio and Cristiano Varin: Scalable Composite Likelihood Estimation of Categorical Data Models with Crossed Random Effects
- Motonori Oka, Yunxiao Chen and Irini Moustaki: Boosting Strategies of Stochastic Optimisation for High-Dimensional Latent Variable Models
Biclustering: Methodologies and Applications - Room E6
Organizer: Jos Hageman (Invited Session Group 1)
Chair: Jos Hageman
- Jos Hageman and Guus Nellissen: A Genetic Algorithm Approach for Biclustering Diverse Structural Components in Complex Data
- Sanjeena Dang: A Mixture of Multivariate Poisson Lognormal Distributions and its Extension to Biclustering
- Mariaelena Bottazzi Schenone, Luis Angel Garcia Escudero, Agustín Mayo Íscar and Maurizio Vichi: Robust Triple K-Means
- Alessia D’Ambrosio, Giuseppe Gismondi, Marco Cardillo, Giuseppe Pandolfo and Antonio D’Ambrosio: An Innovative Approach to Co-Clustering of Directional Data: A Methodological Framework with an Application on Interregional Mobility in the Italian National Health Care System
13:00 – 13:50
Lunch Break
14:00 – 15:00
Keynote Talk 1 – Room Carlo Ciliberto (Aula Rossa)
Eva Ceulemans: The EWMA Control Chart for Real-Time Detection of Developing Mood Disorders: Key Principles, Optimization of Performance, and Applications
Chair: Mark de Rooij
15:10 – 16:40
Advanced Clustering Methods for Complex Data I - Room Lorenzo Mangoni (Aula Azzurra)
Organizer: Marta Nai Ruscone (Invited Session Group 2)
Chair: Marta Nai Ruscone
- Pietro Coretto, Alfonso Peluso and Luca Coraggio: Community Detection in Financial Networks and the Importance of Being Robust
- Igor Melnykov and Szymon Steczek: Mixtures of Dirichlet Distributions for Clustering Dynamic Compositional Data
- Thomas Brendan Murphy and Julien Jacques: Model-Based Clustering and Variable Selection for Multivariate Count Data
- John R.J. Thompson, Jesse S. Ghashti, Daniel Krasnov and Nicolas Bosteels: Mixed-Type Fuzzy Spectral Clustering with Kernel-Based Similarity
Data Science Applications for Environmental Quality Control and Sustainability - Room E1
Organizer: Monica Palma (Invited Session Group 2)
Chair: Monica Palma
Discussant: Pasquale Sarnacchiaro
- Rodolfo Metulini, Maurizio Carpita and Manlio Migliorati: Characteristic-Based Fuzzy Clustering of MCS-GARCH Volatility Components in Traffic Flow Data
- Antonella Congedi, Sandra De Iaco, Monica Palma and Lucia Simmini: An Enhanced New Multivariate GWR Approach for Spatio-Temporal PM10 Levels Prediction
- Veronica Distefano and Sandra De Iaco: Advances of Spatio-Temporal Clustering for Evaluating the Interaction Between Tourism and Environment
Advances in Clustering Algorithms: Contrastive Hierarchical Approaches and Dynamic Time Warping - Room E2
Organizers: Anna Denkowska and Stanisław Wanat (Invited Session Group 2)
Chair: Maciej Denkowski
- Sebastian Baran: Large-Scale Benchmarking of GLMs and Machine Learning Models in Auto Insurance Ratemaking
- Przemysław Rola: Contrastive Hierarchical Clustering
- Anna Denkowska, Maciej Denkowski, João Paulo Vieito and Stanisław Wanat: DTW-Based Time Series Clustering with Application to the Identification and Measurement of Systemic Threats in the Insurance Sector
- Krystian Szczęsny, Stanisław Wanat and Valentina Lorenzoni: Analyzing the Impact of Tail Dependencies on Value at Risk (VaR) Using Distorted Mix Copula
- Valentina Lorenzoni: How European Countries Cluster with Respect to the Ability to Satisfy Health Needs and Ensure the Health of Citizens by Their Expenditure on Health?
Advanced Methods for Cellwise Outlier Detection - Room E3
Organizer: Giorgia Zaccaria (Invited Session Group 2)
Chair: Giorgia Zaccaria
Discussant: Matteo Farnè
- Fabio Centofanti, Mia Hubert and Peter Rousseeuw: Cellwise and Casewise Robust Covariance in High Dimensions
- Mehdi Hirari, Fabio Centofanti, Mia Hubert and Stefan Van Aelst: Casewise and Cellwise Robust Tensor-on-Tensor Regression
- Jakob Raymaekers and Peter J. Rousseeuw: Challenges of Cellwise Outliers
Symbolic Data Analysis - Room E4
Organizer: Paula Brito (Invited Session Group 2)
Chair: Paula Brito
Discussant: Ndeye Niang
- Rosanna Verde, Gianmarco Borrata and Antonio Balzanella: Functional Regression for Predicting Distributional Data: an Application to CO₂ Emissions
- Francesca Condino and Paula Brito: Entropy-Based Discriminant Analysis for the Classification of Density-Valued Symbolic Data
- Sónia Dias and Paula Brito: Principal Component Analysis of Distributional Data: Method and Applications
Advances in Clustering and Classification for Mixed Data - Room E5
Organizer: Carlo Cavicchia (Invited Session Group 2)
Chair: Michel van de Velden
Discussant: Michel van de Velden
- Aurea Grané and Fabio Scielzo-Ortiz: New Robust Distance-Based Clustering Algorithms for Large Mixed-Type Data
- Andrea Cappozzo and Alessandro Casa: A Regularized Wishart Mixture Model for Clustering Covariance Objects
- Efthymios Costa, Ioanna Papatsouma and Angelos Markos: Cluster Analysis From an Information-Theoretic Viewpoint
Data-Driven Decision Making - Room E6
Organizer: Tim Verdonck (Invited Session Group 2) Chair: Tim Verdonck
- Bing Yang, Stefan Van Aelst and Tim Verdonck: Ensemble Cost-Sensitive Logistic Regression Models with Multi-Type Lasso Penalty
- Marco Riani, Anthony C. Atkinson, Domenico Perrotta, Aldo Corbellini and Valentin Todorov: Applied Robust Statistics through the Monitoring Approach
- Christophe Croux, Klaus Nordhausen, Mika Sipila and Sara Taskinen: Robust Forecasting with LSTM
- Edoardo Redivo and Cinzia Viroli: Frequentist Estimation of Microclustering Models with Applications to Record Linkage
16:40-17:00
Coffee Break
17:00 – 17:45
Multidimensional Scaling and Related Methods - Room Lorenzo Mangoni (Aula Azzurra)
Chair: Antonio D’Ambrosio (Contributed Session Group 1)
- Akinori Okada and Tadashi Imaizumi: Multidimensional Scaling Utilizing Self-Similarity
- Giuseppe Gismondi, Marco Cardillo and Alfonso Piscitelli: Tracking Preference Evolution with Dynamic Multidimensional Unfolding
- Lizbeth Burgos-Ochoa and Katrijn Van Deun: Clustering Multivariate Trajectories of Neighbourhood Change: exploring Self-Organizing Maps and Alternatives
Latent Variable Models and Dimensionality Reduction Methods for Complex Data I - Room E1
Chair: Cinzia Viroli (Contributed Session Group 1)
- Marta Cipriani, Marco Alfò and Mirko Signorelli: Extending Landmarking to Mixture Cure Models with Longitudinal Covariates
- Michela Battauz: A Penalized Likelihood Approach to DIF Detection
- Marta Ferrari, Alessandra R. Brazzale and Giovanna Menardi: Trajectory Reconstruction in Muon Scattering Tomography Using Two-Component Mixture Modelling
Item Response Theory and Scale Validation - Room E2
Chair: TBA (Contributed Session Group 1)
- Ilaria Primerano and Maria Carmela Catone: Leveraging Social Network Analysis for Semantic Differential Scale: An application to Survey Data
- Gabriel Wallin and Qi Huang: A Hybrid Latent-Class Item Response Model for Detecting Measurement Non-Invariance in Mental Health Survey Data
- Travis Yang, Wilco Emons, Yves Rosseel and Katrijn van Deun: Novel Estimation Methods for Regularized Large-Scale Multidimensional Item Response Theory Models
Advanced Clustering Techniques for Mixed-Type and Imbalanced Data - Room E3
Chair: TBA (Contributed Session Group 1)
- Alfonso Iodice D’Enza, Cristina Tortora and Francesco Palumbo: Association-Based Spectral Clustering for Mixed Data
- Marco Stefanucci, Mauro Bernardi and Antonio Canale: Fast and Flexible Convex Clustering with General Weights
- Emil Lambert, Daniyal Kazempour and Peer Kröger: Polynomial Manifold Clustering
Local Modeling and Advanced Inference for Spatial and Functional Data - Room E4
Chair: TBA (Contributed Session Group 1)
- Ndeye Awa Dieye, Giorgio Russolillo and Ndèye Niang: When Standard Calibration Metrics Fail in Evaluating Classifier Calibration: a Simulation Study
- Martina Narcisi, Garritt L. Page and Gilbert W. Fellingham: New Insights into Volleyball Setter Evaluation through Spatial-Outcome Clustering
- Domenico Persia, Vito Santarcangelo, Angelo Romano, Giulio Setzu, Angelo Lamacchia, Alessandro D’Alcantara, Michele Di Lecce, Saverio Gianluca Crisafulli, Massimiliano Giacalone, Gianfranco Piscopo and Sergio Vitullo: Unisound: A Sustainable Design Based Active Noise Cancellation Device for Workplaces
Model-Based Clustering and Representation Learning for Structured and Incomplete Data - Room E5
Chair: TBA (Contributed Session Group 1)
- Marta Campagnoli, Marta Magnani and Silvia Salini: Understanding Students’ Paths in Italian Higher Education: A Bayesian Network Approach
- Małgorzata Grzywińska-Rąpca and Aneta Ptak-Chmielewska: Subjective Perceptions of the Financial Situation of Polish Households and Their Savings
- Domenica Fioredistella Iezzi and Roberto Monte: Enhancing Sentiment Detection in Social Media Using LLMS and Embedding-Based Clustering
Latent Structures and Interpretability - Room E6
Chair: TBA (Contributed Session Group 1)
- Marco Bee and Flavio Santi: Modeling and Estimating Skewed and Heavy-Tailed Populations Via Unsupervised Mixture Models
- Furio Urso, Nicola Argentino, Antonino Abbruzzo, Reza Mohammadi, Kevin Pak and Maria Francesca Cracolici: Unravelling Latent Cognitive Dissonance in E-Commerce: A Profile-Based Analytical Framework
- Andrea Nigri, Massimo Bilancia, Barbara Cafarelli and Samuele Magro: A Sparse and Interpretable Post-Clustering Logistic Regression for Modelling Higher Education Dropouts
20:00
Welcome Event in the City Center
- Where: Complesso dei SS. Marcellino e Festo, Largo S. Marcellino 10 (Google Maps Link)
- More information at CLADAG2025 Special Events (Welcome Event)
Day 2 - Tuesday, September 9
08:00
Registration Desk Opens
08:50 – 09:50
Recursive Partitioning and Related Methods - Room Lorenzo Mangoni (Aula Azzurra)
Chair: TBA (Contributed Session Group 2)
- Giorgio Spadaccini, Marjolein Fokkema and Mark van de Wiel: Posterior Inference for Shapley Values Through Bayesian Horseshoe Estimation of Tree-Based Prediction Rule Ensembles
- Andrea Carta and Luca Frigau: Weighted Logistic Oblique Tree for Regression
- Jakob Raymaekers, Peter Rousseeuw, Thomas Servotte, Tim Verdonck and Ruicong Yao: A Powerful Random Forest Featuring Linear Extensions (RaFFLE)
- Agostino Gnasso and Massimo Aria: “Can You Explain That?” E2Tree, SHAP, and LIME for interpretable Random Forests
Statistical Models for Sequential, Functional, and Structured Data - Room E1
Chair: TBA (Contributed Session Group 2)
- Gianluca Mastrantonio, Giovanna Jona Lasinio and Alessio Pollice: Clustering Dolphin Signature Whistles with Dirichlet Process Mixtures
- Josiah Leinbach, Xuwen Zhu and Shuchismita Sarkar : A State-Restricted Hidden Markov Model for Authorship Attribution of the Deutero-Pauline and Pastoral Epistle
- Christian Capezza, Antonio Lepore and Kamran Paynabar: Active Learning for Sequential Classification with Partial Labels
- Michael Gallaugher and Xuwen Zhu: Matrix Variate Hidden Markov Models with Skewed Emissions
Clustering and Community Detection for Structured and Complex Data - Room E2
Chair: TBA (Contributed Session Group 2)
- Rebecca Rivieccio and Roberta Siciliano: Extending the Boosted-Oriented Probabilistic Clustering to the Unit Hypersphere: A Textual Data Perspective
- Ilaria Mozzetta, Maurizio Vichi and Tiziano Iannaccio: Hybrid Single Linkage Clustering
- Sara Geremia and Domenico De Stefano: Density-Based Community Detection Combining Structure and Attribute Information
Bayesian Learning for Structured and Functional Data - Room E3
Chair: TBA (Contributed Session Group 2)
- Anna De Magistris, Elvira Romano and Gerardo Toraldo: Local Conformal Prediction for Non-Parametric Uncertainty Bands in Functional Ordinary Kriging
- Niccolò Cao, Silvia Cagnone, Livio Finos and Marilina Amabile: Modelling Longitudinal Health-Related Constructs: a Latent Variable Approach
- Matteo Mori and Laura Anderlucci: Model-Based Clustering of Functional Data Via Random Projection Ensembles
- Raul Zanatta and Giovanna Menardi: Adaptive Density Estimation with Application to Image Segmentation
Dimensionality Reduction and Latent Structures in High-Dimensional Data - Room E4
Chair: TBA (Contributed Session Group 2)
- Ana Moreira and Susana Faria: Comparison of Group Lasso Methods for Finite Mixtures of Linear Regression Models
- Tiziano Iannaccio and Maurizio Vichi: ODK-means: A Simultaneous Approach to Clustering and Outliers Detection
- Leonardo Genesin, Giovanni Parmigiani and Giovanna Menardi: Bayesian Multi-Study Biclustering
- Kaiwen Liu, Mark de Rooij and Wouter Weeda: Principal Covariate Regression with Nuclear Norm Penalty
Methodological Advances in Applied Statistical Modeling - Room E5
Chair: TBA (Contributed Session: Group 2)
- Lisa Verbeij, Mark de Rooij and Wouter Weeda: Linking Brain Function and Structure to Phenotypes: a Preliminary Work on the Assessment of Replicability in the Human Connectome Project
- Marta Campagnoli, Sophia Chiara Fiora, Rebecca Ghio, Marta Magnani, Silvia Salini and Stefano Trancossi: Evolution of Students’ Profiles Enrolled in Italian Distance Learning Universities Over the Last Decade
- Sirine Ben Assi, Wiem Neji, Giuseppe Cappelli, Sofia Nardoianni, Simona Balzano, Mauro D’Apuzzo and Giovanni Camillo Porzio: Some Statistical Aspects in the Development of New Crash Frequency Models for Vulnerable Users
- Edoardo Pascucci, Simona Balzano, Houyem Demni, Luisa Natale and Giovanni C. Porzio: Young Generation and Sustainable Mobility: Findings From a PLS Structural Equation Model
Modeling Dependence and Structure in Graphs, Space, and Circular Data - Room E6
Chair: TBA (Contributed Session Group 2)
- Yahia Hammami, Giovanni C. Porzio, Houyem Demni and Amor Messaoud: A Mardia-Sutton Distribution for Cylinders with Random Ray
- Sarah Leyder, Jakob Raymaekers and Peter Rousseeuw: Robust Distance Correlation
- Ahmadali Jamali and Domenico De Stefano: Graph Embeddings Impact on Unsupervised Community Detection in Ring of Cliques with Outlier Effects
- Sara Milito, Francesco Giordano and Maria Lucia Parrella: Efficient Estimation of Clustered SDPD Models with Exogenous Components
10:00 – 11:00
Keynote Talk 2 – Room Carlo Ciliberto (Aula Rossa)
Peter Rousseuw: Independent Component Analysis by Robust Distance Correlation
Chair: Maurizio Vichi
11:00 – 11:20
Coffee Break
11:20 – 12:50
Advances in Mixture Models - Room Lorenzo Mangoni (Aula Azzurra)
Organizer: Paul McNicholas (Invited Session Group 3)
Chair: Paul McNicholas
- Alexa Sochaniwsky and Paul McNicholas: Parsimonious Ultrametric Manly Mixture Models
- Antonello Maruotti, Alfonso Russo and Fabio Divino: Model-Based Clustering of Mixed-Type Compositional-Continuous Data
- Volodymyr Melnykov and Lingge Wang: Change Point Detection in Categorical Sequences
- Salvatore Daniele Tomarchio, Luca Bagnato and Antonio Punzo: Dimension-Wise Kurtosis Control and Parsimony in Model-Based Clustering
Preference Data - Room E1
Organizer: José Luis Garcia Lapresta (Invited Session Group 3)
Chair: José Luis Garcia Lapresta
- José Carlos R. Alcantud: Challenges in Preference-Approval of Opportunity Sets
- Remzi Sanver: The Majority Principle is Adequate only for Purely Ordinal Individual Preferences
- José Luis García-Lapresta and Miguel Martínez-Panero: Aggregating Ternary Preferences in a Scoring Context
- Alessandro Albano, José Luis Garcia Lapresta, Antonella Plaia and Mariangela Sciandra: Marginal Contribution to Consensus in Ternary Preferences
New Approaches to Dimensionality Reduction: Applications in the social sciences - Room E2
Organizers: Alfonso Piscitelli and Leonardo Salvatore Alaimo (Invited Session Group 3)
Chair: Alfonso Piscitelli
Discussant: Leinardo Salvatore Alaimo
- Ida Camminatiello, Rosaria Lombardo and Mario Musella: Modelling Social Inequalities with Identity Spline and LASSO Regression
- Samuela L’Abbate, Paola Perchinunno and Leonardo Salvatore Alaimo: Density-Based Clustering for the Detection of High-Intensity Regions
- Mariaelena Bottazzi Schenone and Maurizio Vichi: Clustering Hierarchical Disjoint Principal Component Analysis for Environmental Impact Assessment of Food Products
Advances in Text Mining for Data Analysis - Room E3
Organizer: Luca Frigau (Invited Session Group 3)
Chair: Luca Frigau
- Chiara Di Maria, Alessandro Albano, Mariangela Sciandra and Antonella Plaia: Text-Based Propensity Scores for Analyzing Comorbidities in EHRs
- Marco Ortu: Unsupervised Topic Relationship Discovery Using Generalized Structured Component Analysis: A Novel Approach to Document Clustering
- Silvia Bartolucci: Bridging Textual and Network Data Analysis: Exploring Trends in Ethereum Developer Discussions
- Giulia Contu and Marco Ortu: Modeling the Impact of Review Content on Tourist Satisfaction: The Case of the Sardinian Hotel Reviews
Classification for Biomedical Data - Room E4
Organizer: Cinzia Viroli (Invited Session Group 3)
Chair: Cinzia Viroli
Discussant: Saverio Ranciati
- Alice Giampino, Roberto Ascari and Sonia Migliorati: A Flexible Latent Dirichlet Model for Modeling Taxa Communities
- Pierfrancesco Alaimo Di Loro, Gianluca Mastrantonio and Marco Mingione: A New Prior for Bayesian Graphical Modeling: the S-Bartlett
- Silvia Dallari, Laura Anderlucci and Angela Montanari: Clustering Microbiome Data Via Diversity-Based Mixture Models
Regularization and Latent Variables - Room E5
Organizer: Andreas Alfons (Invited Session Group 3)
Chair: Andreas Alfons
- Jan O. Bauer: Beyond Regularization: Inherently Sparse Principal Component Analysis
- Daniël J.W. Touw, Andreas Alfons, Patrick J.F. Groenen and Ines Wilms: Sparse Clusterpath Gaussian Graphical Modeling and Covariance Estimation
- Tra Le, Jeroen Vermunt and Katrijn Van Deun: Block-regularized Exploratory Approximate Factor Analysis for Multidomain Data
- Camilo Cardenas-Hurtado, Irini Moustaki and Yunxiao Chen: A Generalized Additive Partial-Mastery Diagnostic Classification Model
Statistical Perspectives on Fairness in Classification Algorithms - Room E6
Organizer: Anna Gottard (Invited Session Group 3)
Chair: Anna Gottard
- Francesco Pauli and Roberta Pappadà: Measuring Discrimination in Decision-Making Algorithms: an Approach Based on Causal Inference
- Isabel Valera: Society-centered AI: An Integrative Perspective on Algorithmic Fairness
- Emanuele Aliverti: Removing the Influence of Sensitive Attributes Via Variational Approximations
- Evgenii Chzhen, Mohamed Hebiri and Gayane Taturyan: Multi-Class Classification Under System Constraints: a Unified Approach Via Post-Processing
12:50 – 14:00
Lunch Break
14:00 – 15:00
Keynote Talk 3 – Room Carlo Ciliberto (Aula Rossa)
Regina Liu: Fusion Learning: Fusing Inferences from Diverse Data Sources
Chair: Giovanni Camillo Porzio
15:10 – 16:40
Analysis of Complex Data - Room Lorenzo Mangoni (Aula Azzurra)
Organizers: Domenico Perrotta and Andrea Cerioli (Invited Session Group 3)
Chair: Agustín Mayo-Iscar
Discussant: Andrea Cerioli
- Fabrizio Laurini, Agustin Mayo Iscar and Luis-Angel Garcia-Escudero: Robust Estimation of Mixed Models
- Luca Greco and Claudio Agostinelli: Weighted Likelihood Estimation of Multivariate Location and Scatter with Simultaneous Outliers and Missing Values
- Luis Angel García-Escudero, Agustín Mayo-Iscar and Lucia Trapote-Reglero: Robust Clustering Based on Trimming with Increasing Dimensionality
Statistical Approaches for Measuring and Analysing Educational Imbalance - Room E1
Organizer: Rosaria Romano (Invited Session Group 3)
Chair: Francesco Palumbo
- Tommaso Agasisti, Mara Soncin, Chiara Masci and Sergio Longobardi: Enhancing Student Resilience Through Socio-Emotional Skills: Evidence from PISA 2022
- Angelos Markos, Efthymios Costa and Ioanna Papatsouma: Discovering Profiles of Resilient Students in PISA: An Information-Theoretic Approach to Clustering Mixed-Type Educational Data
- Pasquale Sannino, Cristina Davino and Rosaria Romano: Assessing Policies for Schools with Low Socioeconomic Opportunities: Insights from INVALSI Tests
- Clelia Cascella, Marco Geraci and Domenico Vistocco: Advancing Educational Research with Multilevel Quantile Regression: Evidence from Large-Scale Data
Data-Driven Classification and Statistical Modeling for Tackling Environmental Challenges - Room E2
Organizer: Luca Merlo (Invited Session Group 3)
Chair: Luca Merlo
- Antonello Maruotti, Lorena Ricciotti, Alfonso Russo and Sondre S. Hølleland: Flexible and Robust Modeling of Tidal Meteorological Residuals in the Venice Lagoon Using Hidden Semi-Markov Models
- Mackenzie Neal, Paul McNicholas and Arthur White: Robust Clustering Using Maximized Mutual Information
- Giulio Grossi and Lea Anna Cozzucoli: Climate‑Risk Salience and Public Support for Mitigation: Causal Evidence from the 2021 German Floods
- Alfonso Russo, Alessio Farcomeni, Sabrina Giordano and Antonello Maruotti: Discrete Latent Variable Models for Time-Dependent Ranking Data
Biomedical Data Analysis and Systems Biology - Room E3
Organizer: Hans Kestler (Invited Session Group 3)
Chair: Adalbert Wilhelm
- Ludwig Lausser: Linear Classification Algorithms for Ordinal Classifier Cascades
- Annika Kestler and Hans Kestler: A Sparse Explainable Ensemble Classifier Leveraging Noise (and a Representation in the Decision Function Space) for High-Dimensional Data
- Max Krüger and Ludwig Lausser: Semantic Data Integration for the Reconstruction of Gene Regulatory Networks
- Caya L. O. Hotstegs, Johann M. Kraus and Hans A. Kestler: Simulating a Boolean Network of Hematopoietic Stem Cell Regulation on Neuromorphic Hardware
Advances in Preference Learning - Room E4
Organizer: Valeria Vitelli (Invited Session Group 3)
Chair: Valeria Vitelli
- Michael Pearce and Elena A. Erosheva: Bayesian Rank-Clustering
- Giuseppe Mignemi and Ioanna Manolopoulou: Flexible Models for Multiple Raters Data via Bayesian Nonparametric Priors
- Luca Coraggio and Valeria Vitelli: Stability Post-Processing for Items Importance in Preference Learning via the Bayesian Mallows
- Luiza Piancastelli and Nial Friel: The Clustered Mallows Model
Complex Environmental Data - Room E5
Organizers: Laura Sangalli and Francesco Lagona (Invited Session Group 3)
Chair: Mariangela Sciandra
- Nicoletta D’Angelo: Detecting Changes in Space-Varying Parameters in Seismic Point Processes
- Marco Mingione, Pierfrancesco Alaimo Di Loro, Francesco Lagona and Antonello Maruotti: Environmental Risk Assessment via Nonhomogeneous Hidden Semi-Markov Models with Penalized Vector Auto-Regression
- Luisa Ferrari, Maria Franco-Villoria, Garritt Page and Alex Laini: Clustering Metabarcoding Data: a Model-Based Approach
- Eleonora Arnone and Laura Sangalli: Spatio-Temporal Regression with PDE Penalization: Mean and Quantile Estimation
Unsupervised Methods in Data Science with Applications to Finance and Social Sciences - Room E6
Organizer: Antonio Balzanella (Invited Session Group 3) Chair: Antonio Balzanella Discussant: Antonio Balzanella
- Furio Urso, Antonino Abbruzzo, Marcello Chiodi and Maria Francesca Cracolici: Model Selection for Mixture Hidden Markov Models: An Application to Clickstream Data
- Gianmarco Borrata, Antonio Balzanella, Raffaele Mattera and Rosanna Verde: Cluster-Based Prediction under Missing Data: An Application to Green Funding of Italian SMEs
- Arianna Agosto, Paola Cerchiello and Antonio Balzanella: Aggregating ESG Scores: a Wasserstein Distance-Based Method
16:40 – 17:00
Coffee Break
17:00 – 18:00
Latent Variable Models and Dimensionality Reduction Methods for Complex Data II - Room Lorenzo Mangoni (Aula Azzurra)
Chair: Paolo Giordani (Invited Session Group 3)
- Cinzia Di Nuzzo and Matteo Farnè: ALgebraic Laplacian Estimator to Select the Number of Clusters in Spectral Clustering
- Lucia Guastadisegni, Silvia Bianconcini and Silvia Cagnone: A Comparison of Estimation Methods in Latent Variable Models for Binary Panel Data
- Gian Mario Sangiovanni, Louisa Kontoghiorghes, Ana Colubi and Maria Brigida Ferraro: Topic Homogeneity Test-based Fuzzy Document Clustering
- Dalila Failli, Maria Francesca Marino and Francesca Martella: Mixture of Experts Latent Trait Analyzers
Advances in Preference and Perceptions Statistical Modeling - Room E1
Chair: TBA (Invited Session Group 3)
- Maurizio Romano and Gianpaolo Zammarchi : An Hybrid Preference Learning Framework to Refine the Consensus Ranking
- Marco Cardillo, Alfonso Piscitelli and Raffaele Sacchi: The Relevance of Information in Changing the Structure of Consumer Preferences: A Pre-Post Sensory Experiment on Seven Olive Oils
- Rossella Duraccio, Maria Iannario, Claudia Tarantola and Roberta Varriale: Gender Stereotypes and Barriers in STEM: a Bayesian Statistical Analysis of Perceptions and Challenges
- Rosaria Simone, Francesca Di Iorio, Carmela Cappelli and Stefania Capecchi: A Joint Investigation of Model-Based Classification Trees And Composite Indicator For Multivariate Ordinal Responses
Innovative Approaches in Machine Learning and Clustering - Room E2
Chair: TBA (Invited Session Group 3)
- Flor Debois, Jakob Raymaekers, Thomas Servotte and Tim Verdonck: Fast Weighted Linear Model Trees
- Laura Anderlucci and Angela Montanari: sketchedRF: A Random Forest Framework for Classification under Dataset Shift
- Agostino Gnasso, Massimo Aria and Roberta Siciliano: From Prediction to Explanation: Interpreting Risk Factors in Health Survey Analytics
- Moatassam Bellah Alyani, Houyem Demni, Amor Messaoud and Giovanni Camillo Porzio: Fuzzy Partitioning Around Medoids: Approaches for Cylindrical Data Clustering
From Stratified Effects to Latent Trajectories: Advances in Statistical Association - Room E3
Chair: TBA (Invited Session Group 3)
- Lorenzo Frattarolo: Testing for Constant Central Asymmetry between Two Copulas
- Ruggero Bellio, Annamaria Guolo and Nicola Sartori: A Unified Approach to Inference on a Common Parameter of Interest in Stratified 2 × 2 Tables
- Marjolein Fokkema: Assessing Shape Heterogeneity in Regression and Smoothing Spline Models
- Miki Nakai and Fulvia Pennoni: Diverging Career Trajectories of Men and Women in Japan: a Comparison Through Hidden Markov Models
Advanced Statistical Modeling in Financial Markets - Room E4
Chair: Carmela Iorio (Invited Session Group 3)
- Fausto Corradin, Antonio Peruzzi and Roberto Casarin: ISP Index: a Parsimonious Method to Predict Defaults
- Przemyslaw Jasko: Random Dynamic Systems as a Modeling Tool in Statistical Arbitrage in the Stock Market
- Steven Mphaya and Marialuisa Restaino: Machine Learning for Credit Risk Modelling
- Michael Trequattrini, Silvia Pandolfi and Francesco Bartolucci: Weighted Estimation of Hidden Markov Stochastic Volatility Models
Statistical Modeling and Machine Learning in Genomic and Population Health Research - Room E5
Chair: TBA (Invited Session Group 3)
- Paolo Dalena, Luigina De Leo, Elena Spinelli, Giulia Barbati and Adamo Pio D’Adamo: Prioritization of Differential Methylation Regions for the Prediction of Coeliac Disease: a Machine Learning Approach
- Giulia Vannucci, Roberta Siciliano, Valentina Iuzzolino, Gianmaria Senerchia and Raffaele Dubbioso: Enhancing Statistical Inference in Mixed-Effect Three-Tree Model: a Data-Carving Estimation Strategy with an Application on Amyotrophic Lateral Sclerosis Data
- Simona Cafieri, Francesco Pugliese and Mauro Sodani: Innovative Applications of Supervised Learning in Addressing Missing Data: A Case Study on Social Surveys
- Ali Mertcan Köse: Off-Target Analysis Through Latent Class Models and Machine Learning in CRISPR Cas9: Tumor Protein 53 Sequence Application
Advances in Statistical Optimization - Room E6
Chair: TBA (Invited Session Group 3)
- Luca Martino, Salvatore Ingrassia, Sofia Mangano and Luca Scaffidi Domianello: A Note on Gradient-Based Parameter Estimation for Energy-Based Models
- Luca Frigau: Local Optimization-Based Clustering
- Andrea Mascaretti, Anna Vesely and Aldo Gardini: Selection Accuracy and Errors in Sparse Models with the Horseshoe Prior
- Marcella Niglio, Marialuisa Restaino and Rosaria Simone: Optimizing Predictive Ability of Binary Regression for Imbalanced Data: a Simulation Study on Asymmetric Link Functions and Feature Selection
18:00 – 19:00
CLADAG Assembly and Young Researchers Best Paper Award – Room Carlo Ciliberto (Aula Rossa)
20:30
Social Dinner
- Where: Hotel Royal Continental – Via Partenope, 38, 80121 Napoli NA (Google Maps Link)
- More information at CLADAG2025 Special Events (Social Dinner)
Day 3 - Wednesday, September 10
08:00
Registration Desk Opens
08:50 – 09:50
From Structural Models to Machine Learning: Predictive Approaches Across Domains - Room Lorenzo Mangoni (Aula Azzurra)
Chair: TBA (Contributed Session Group 4)
- Hsin Kao, Li Zeng and Katrijn Van Deun: Structural Equation Modeling for Out-of-Sample Prediction: A Comparative Study of Methods
- Aditi M. Bhangale, Mark de Rooij and Julian D. Karch: Relaxed SEM-Based Out-of-Sample Predictions
Cosimo Grazzini, Giorgia Spera, Stefania Morelli, Daniele Castellana, Giulia Cosenza, Michela Baccini, Giulia Cereda, Elena Pilli: Evaluation of Supervised Machine Learning Methods in Predicting Biogeographical Ancestry through an Innovative SNP Panel.
- Alessia D’Ambrosio, Giuseppe Gismondi, Alfonso Piscitelli: Clustering Using Multidimensional Indicators: an Approach without Feature Reduction
Statistical Methods and Optimization for Complex Decision Environments - Room E1
Chair: TBA (Contributed Session Group 4)
- Lorenza Cotugno, Stefano Pellegrino and Roberta Siciliano: Decoding Locomotor Intentions: Neural Networks and Probabilistic Machine Learning for Customizable Exoskeletons
- Giuseppe Alfonzetti, Ruggero Bellio and Paolo Vidoni : Computing an Agreement Measure for Crowdsourcing in Information Retrieval by Accurate Estimation of a Two-Way Beta Regression Model
- Simona Cafieri and Francesco Petrucci: Enhancing Small-Sample Inference for Health Indicators: a Machine Learning Framework Applied to EU Countries
- Matteo Giordano: Bayesian Inference with Besov-Laplace Priors for Spatially Inhomogeneous Binary Classification Surfaces
Latent Structures and Regularization in Graphical, Causal and Deep Clustering Models - Room E2
Chair: TBA (Contributed Session Group 4)
- Anna Crisci and Pasquale Sarnacchiaro: Generalized Estimating Equation Methods with a New Interpretation of Goodness of Fit Measures. The Impact of Digitalization Level on GDP of the European Countries
- Girolamo Franchetti and Massimiliano Politano: Revealing the Nature of Italian Life Expectancy: A Comparative Study of ARIMA Models Using COVID-19 Shock
- Violetta Simonacci, Michele Gallo and Lucio Palazzo : Reframing Fair PCA: A Multiset Tensor Decomposition Perspective
- Maria Spano, Michelangelo Misuraca and Luigi Celardo: From Vectors to Networks: Comparing Conventional and Graph-Based Approaches to Unsupervised Text Categorisation
Structured and Multi-Way Data Modeling - Room E3
Chair: TBA (Contributed Session Group 4)
- Zdenek Sulc and Jaroslav Hornicek: nomclust 3.0: An R Package for Agglomerative Hierarchical Clustering of Categorical and Mixed-Type Data
- Marco Berrettini and Giuliano Galimberti: Closed-Form Information Matrix Expressions for Matrix-Normal Mixtures
- Daniyal Kazempour, Emil Lambert, Claudius Zelenka and Peer Kröger: On Relations Of Piecewise-Linear Approximations
- Andrzej Sokołowski and Małgorzata Markowska: Measuring Dynamics in Spatio-temporal Clusters
Validation and Innovation in Clustering: From Hierarchical Stability to Spatio-Temporal Pattern Discovery - Room E4
Chair: TBA (Contributed Session Group 4)
- Jaroslav Horníček: Instability Measures for Hierarchical Clustering in Categorical Data
- Alessia Benevento, Fabrizio Durante and Roberta Pappadà: Comonotonic-Based Time Series Clustering with Soft Spatial Constraints
- Orietta Nicolis, Billy Peralta and Alonso Rivera: Graph-Based Deep Learning Approach for the Classification of Earthquake Magnitudes in Space and Time
Bayesian and Nonparametric Frontiers in Network and Spatial Classification - Room E5
Chair: TBA (Contributed Session Group 4)
- Stefano Bonnini, Michela Borghesi and Massimiliano Giacalone: Advances on Combined Permutation Tests in Multivariate Problems
- Antonio Peruzzi and Roberto Casarin: A Multiple Random Scan Strategy for Bayesian Latent Space Models
- Antonio Pacifico: Adaptive Multiscale Clustering of Spatial Panels via Bayesian Wavelet Decomposition
- Brian Daniel Bernhardt, Chiara Marciano, Sara Gigli, Lucia Maddalena and Mario Rosario Guarracino: Understanding ESG Scores through Network Analysis: A Study Using Graph Neural Networks
Automated Financial Analysis and Funding Matching: Statistical Validation of AI Modeling- Room E6
Chair: Carmela Iorio (Contributed Session Group 4)
Fabio Leone, Antonella Meccariello, Daniele Rossi, Luca Ruocco, Carmine Santone, Sergio Beraldo, Antonio D’Ambrosio, Carmela Iorio and Giovanni Walter Puopolo: Can GenAI Match Human Standards in Financial Reports?
Fabio Leone, Antonella Meccariello, Daniele Rossi, Luca Ruocco, Carmine Santone, Sergio Beraldo, Antonio D’Ambrosio, Carmela Iorio and Giovanni Walter Puopolo: Enhancing Access to European Funding through AI-powered tool
Fabio Leone, Antonella Meccariello, Daniele Rossi, Luca Ruocco, Carmine Santone, Sergio Beraldo, Antonio D’Ambrosio, Carmela Iorio and Giovanni Walter Puopolo: From Data to Decision: A Scalable AI Approach to Public and Private Funding Discovery
10:00 – 11:00
Keynote Talk 4 – Room Carlo Ciliberto (Aula Rossa)
Dimitris Karlis: Model based clustering for non-continuous time series
Chair: Roberto Rocci
11:00 – 11:20
Coffee Break
11:20 – 12:50
Advances in Robust Clustering - Room Lorenzo Mangoni (Aula Azzurra)
Organizers: Luis Angel Garcia Escudero (Invited Session Group 5)
Chair: Luis Angel Garcia Escudero
Discussant: Marco Riani
- Marcus Mayrhofer, Una Radojičić and Peter Filzmoser: Robust and Interpretable Matrix-Variate Data Analysis
- Andrea Fois, Luca Insolia, Luca Consolini, Fabrizio Laurini, Marco Locatelli and Marco Riani: A Probabilistic Branch-and-Bound Algorithm for Clusterwise Linear Regression
- Giorgia Zaccaria, Lorenzo Benzakour, Francesca Greselin, Luis Angel García Escudero and Agustín Mayo-Íscar: Cellwise Outliers in Heterogeneous Populations: a Fuzzy Clustering Approach
Variable Selection in Complex Settings - Room E1
Organizer: Silvia Bacci (Invited Session Group 5)
Chair: Silvia Bacci
Discussant: Irini Mustaki
- Zilong Xie, Yunxiao Chen, Matthias von Davier and Haolei Weng: Variable Selection in Latent Regression IRT Models via Knockoffs: An Application to International Large-scale Assessment in Education
- Silvia Bacci, Emanuela Dreassi, Leonardo Grilli and Carla Rampichini: Variable Selection via Knockoffs for Clustered Data
- Moritz Berger and Maria Iannario: Taming Complexity: Variable Selection in Mixed-Effects Location-Scale and Location-Shift Models for Ordinal Data
Sports Analytics - Room E2
Organizer: Michel van de Velden (Invited Session Group 5)
Chair: Michel van de Velden
- Benjamin Holmes: Rewriting the Rules: Can a Draft System Close the Premier League’s Competitive Divide
- Thomas Servotte, Tom Van Deuren and Tim Verdonck: Unlocking Prescriptive Training: Causal Machine Learning for Actionable Athlete Guidance
- Roberto Rondinelli, Lucio Palazzo, Riccardo Ievoli and Giancarlo Ragozini: Disentangling Successful Football Actions: A Network-Based Approach
- Michel van de Velden and Vanja Misuric-Ramljak: Identifying Playing Styles in Football through Topic Modelling
Statistical Modelling of Financial Data - Room E3
Organizer: Carmela Iorio (Invited Session Group 5)
Chair: Carmela Iorio
- Jorge Caiado and Nuno Crato: A Data-Driven Fragmented Autocorrelation Approach for Time Series Clustering
- Raffaele Mattera and Germana Scepi: Clustering Financial Time Series by Good and Bad Realized Volatility Decomposition
- Carolin Vasconcelos and Bruno Damasio: Generalized Multivariate Markov Chains
- Alessandra Amendola, Vincenzo Candila, Shahram Dehghan Jabarabadi and Peter Winker: Does Sustainability Impact Tail Risk Measurement? Evidence from a Novel Text-Based ESG Indicator
Advances in Directional Statistics - Room E5
Organizers: Stefania Fensore and Marco Di Marzio (Invited Session Group 5)
Chair: Giovanni Camillo Porzio
Discussant: Giuseppe Pandolfo
- Charles Taylor, Stefania Fensore and Marco Di Marzio: Rounding Errors in Circular Data
- Claudio Agostinelli, Luca Greco and Giovanni Saraceno: Robust Estimation in Multivariate Torus Data
- Anna Gottard and Agnese Panzera: Conditional Von Mises Bayesian Networks
13:00 – 13:50
Lunch Break
14:00 – 15:30
Advanced Clustering Methods for Complex Data II - Room Lorenzo Mangoni (Aula Azzurra)
Organizer: Marta Nai Ruscone (Invited Session Group 6)
Chair: Marta Nai Ruscone
- Francesca Greselin, Luis Angel Garcia-Escudero, Agustin Mayo-Iscar and Giorgia Zaccaria: A Gaussian Mixture Model Approach for Clustering and Cellwise Outlier Detection
- Roberto Rocci and Stefano Antonio Gattone: Simultaneous Clustering and Reduction of Curves
- Christian Hennig: On Decision Making in Cluster Analysis with Focus on Variables of Mixed Type
- Shen Jia, James Ng, Mark Little and David Selby: A Novel Multi-view Mixture Model Framework for Longitudinal Clustering with Application to ANCA-Associated Vasculitis
Nonparametric Estimation of Latent Variable Models - Room E1
Organizer: Matthieu Marbac-Lourdelle (Invited Session Group 6)
Chair: Matthieu Marbac-Lourdelle
- Dalila Failli, Bruno Arpino and Maria Francesca Marino: Hierarchical Mixtures of Latent Trait Analyzers for Clustering Three Way Binary Data
- Pierre Gloaguen, Mathis Chagneux, Sylvain Le Corff, Jimmy Olsson and Mathias Muller: Importance Sampling for Online Variational Learning in State-Space Models
- Marie du Roy de Chaumaray and Vincent Vandewalle: Non-parametric Multi-Partitions Clustering
- Marie-Pierre Etienne, Célian Monchy and Olivier Gimenez: Latent Variable Models for Species Detection: Propagating Uncertainty from Deep Features to Ecological Inference
Bayesian Approaches in Model-Based Clustering - Room E2
Organizer: Gertraud Malsiner-Walli (Invited Session Group 6)
Chair: Gertraud Malsiner-Walli
Discussant: Sylvia Frühwirth-Schnatter
- Andrea Cremaschi and Beatrice Franzolini: Dependent Dirichlet-Multinomial Processes with Random Number of Components
- Gertraud Malsiner-Walli, Sylvia Frühwirth-Schnatter and Bettina Grün: CliPS – Finding Cluster Distributions Behind Data
- Clara Grazian and Gianluca Mastrantonio: Tree-Structured Mixtures for Spatial Prior Specification
Differential Privacy and Robust Classification - Room E3
Organizers: Claudio Agostinelli and Anand Vidyashankar (Invited Session Group 6)
Chair: TBA
Discussant: TBA
- Nicholas Rios and Zhaoxue Tong: Randomized Smart Subset Selection
- Lasse Vuursteen: Adaptive Estimation under Differential Privacy Constraints
- Pramita Bagchi, Anand Vidyashankar and Fengnan Deng: Privacy-Aware Neymanpearson Classification via Divergences
Advances in Statistical Learning and Modeling - Room E4
Organizer: Roberta Siciliano (Invited Session Group 6)
Chair: Roberta Siciliano
- Alessandro Santonicola: Integrated Quadratic Distance as an Adaptation Criterion for Adaptive Importance Sampling
- Salvatore Cuomo, Francesco Piccialli, Roberta Siciliano and Alessandro Bottino: Enhance Physics-Informed Neural Networks Performance for Solving Richards Equation by Deep Learning Optimization
- Emiliano del Gobbo, Alex Cucco, Lara Fontanella, Elisa Ignazzi and Sara Fontanella: Human-Guided Learning for Interpretable Detection of Online Misogyny
- Semhar Michael, Andrew Simpson, and Yana Melnykov: Statistical Learning for Large-Scale Few-Shot Classification
Analysis of Multiblock Data - Room E5
Organizer: Katrijn Van Deun (Invited Session Group 6)
Chair: Mark de Rooij
Discussant: Rosaria Romano
- Stéphanie Bougeard, Jean Michel Galharret and Mohamed Hanafi: Exploring Common and Specific Observation-Structures for Several Blocks of Variables
- Tormod Næs, Rosaria Romano, Oliver Tomic, Age Smilde and Kristian Hovde Liland: Alternative Definitions of Effects/Contributions in Path Analysis with Multidimensional Blocks
- Zino Brystowski: Stacked Domain Learning: A Theory-Guided Approach to Multidomain Data Modeling
Analysis of Teaching and Research Activity of Higher Education Institutions - Room E6
Organizers: Paweł Lula and Miladin Stefanovic (Invited Session Group 6)
Chair: Paweł Lula
- Ildikó Dén-Nagy, Paweł Lula, Anna Drabina, Katarzyna Wójcik and Norbert Magyar: Future-Oriented Insights on the Role of Ai in Higher Education in the Light of Scientific Publications
- Miladin Stefanovic, Anna Drabina, Katarzyna Wójcki and Paweł Lula: Success Factors for Obtaining HORIZON EUROPE Grants by European Higher Education Institutions
- Anna Drabina, Paweł Konkol and Katarzyna Wójcik: Sentiment Analysis of Study Programmes’ Evaluation Reports Prepared by Polish Accreditation Committee
- Przemyslaw Jasko and Pawel Lula: Selected Counting Processes as a Tool for Modeling the Dynamics of Scientific Paper Citations
15:40 – 16:40
Keynote Talk 5 – Room Carlo Ciliberto (Aula Rossa)
Giovanni Camillo Porzio: Directions on directions: a directional data analysis journey
Chair: Francesca Greselin