Conference Program

Day 1 – Monday Sept, 11




Registration open


9:00 - 9:30

Main Hall


Vincenzo Loia, Rector of the University of Salerno | Sergio Destefanis, Head of the Department of Economics and Statistics, University of Salerno | Gennaro Iorio, Head of the Department of Political and Social Studies, University of Salerno |Corrado Crocetta, President of the Italian Statistical Society | Cinzia Viroli, President of the CLADAG | Carla Rampichini, Chair of CLADAG 2023 Scientific Committee


9:30 – 11:00

Invited sessions #1

Room 1

IS01 | Advances in Bayesian nonparametrics

Organizer and Chair: Antonio Canale

Posterior clustering for Dirichlet process mixtures of Gaussians with constant data
Filippo Ascolani and Valentina Ghidini

Flexible modelling of heterogeneous populations of networks: a Bayesian nonparametric approach
Francesco Barile, Simonón Lunagómez and Bernardo Nipoti

Issues with sparse spatial random graphs
Francesca Panero


Room 2

IS02 | Recent advances in model-based unsupervised learning

Organizer and Chair: Pietro Coretto

A novel multi-view ensemble clustering framework for cancer subtype discovery
Michael G. Schimek, Bastian Pfeifer and Marcus D. Bloice

Model-based clustering via parsimonious mixtures of dimension-wise scaled normal mixtures
Antonio Punzo, Luca Bagnato and Salvatore Daniele Tomarchio

Model-based clustering of right-censored lifetime data with frailties and random covariates
Andrea Cappozzo, Chiara Masci, Francesca Leva and Anna Maria Paganoni

Longitudinal hidden Markov models: problems and methods
Mackenzie R. Neal and Paul D. McNicholas


Room 3

IS-03 | Advances in large/complex data analysis

Room 4

IS-04 | Performance estimation and players’ classification: an overlook into sports analytics

Room 5

IS-05 | Machine learning for finite population inference

Organizer and Chair: Gaia Bertarelli

Flexible employment, a machine learning approach
Marco Alfò, Dimitris Pavlopoulos and Roberta Varriale

Using ML techniques for estimation with non-probabilistic survey data
Jorge Rueda Sánchez, Maria del Mar Rueda, Ramón Ferri and Beatriz Cobo

Classification tree to improve data quality in official statistics
Marco Di Zio, Romina Filippini, Gaia Rocchetti and Simona Toti



11:00 - 11:30

Coffee break


11:30 - 13:00

Invited sessions #2

Room 1

IS-06 | Multi-view & multi-set data analysis

Organizer and Chair: Katrijn Van Deun

A cohort study on the gender gap in mortality through the Tucker3 model
Paolo Giordani, Susanna Levantesi, Andrea Nigri and Virginia Zarulli

Simultaneous clustering and variable selection on multi-view data
Shuai Yuan

Structural equation modeling with latent/emergent variables: RGCCAc
Arthur Tenenhaus, Michel Tenenhaus and Theo Dijkstra

View it differently: finding groups in microbiome data
Laura Anderlucci, Silvia Dallari and Angela Montanari


Room 2

IS-07 | From texts to knowledge: advances and challenges in textual data analysis

Organizers: Giuseppe Giordano and Michelangelo Misuraca
Chair: Giuseppe Giordano

The nexus between ESG and initial coin offerings: evidence from text analysis
Alessandro Bitetto and Paola Cerchiello

Identification of misogynistic accounts on Twitter through Graph Convolutional Networks
Lara Fontanella, Emiliano del Gobbo and Alex Cucco

Analysing the effect of different design choices in network-based topic detection
Carla Galluccio, Matteo Magnani, Davide Vega, Giancarlo Ragozini and Alessandra Petrucci

Ensemble method for text classification in medicine with multiple rare classes
Alessandro Albano, Mariangela Sciandra and Antonella Plaia


Room 3

IS-08 | Real Big Data applications for socio-economic phenomena

Organizer and Chair: Maria Giovanna Ranalli

Reducing selection bias in non-probability sample by Small Area Estimation
Francesco Schirripa Spagnolo, Gaia Bertarelli, Nicola Salvati, Donato Summa, Monica Scannapieco, Stefano Marchetti and Monica Pratesi

Assessing and improving data quality in open spatial data: a case study with ANAC data
Vincenzo Nardelli and Niccolò Salvini

Using retail transactions for consumer price index and expenditure statistics
Li-Chun Zhang


Room 4

IS-09 | Selected papers by the IBS (Società Italiana di Biometria) - Statistical methods for the analysis of health problems
Organizer and Chair: Monia Lupparelli
Discussant: Monica Chiogna

Clinically useful measures in survival analysis: the restricted mean survival time as an alternative to the hazard ratio
Federico Ambrogi and Matteo Di Maso

Clustering genes spatial expression profiles with the aid of external biological knowledge
Andrea Sottosanti, Sara Agavni’ Castiglioni, Stefania Pirrotta, Enrica, Calura and Davide Risso

Causal inference on the impact of extreme ambient temperatures on population health
Michela Baccini, Alessandra Mattei, Elena Degli Innocenti, Giulio Biscardi and Aitana Lertxundi


Room 5

IS-10 | Machine Learning and AI

Organizer and Chair: Claudio Agostinelli

Depth functions for tree-indexed processes
Giacomo Francisci and Anand Vidyashankar

Using machine learning and AI in science of science
Daniele Pretolesi, Andrea Vian and Annalisa Barla

Improving performance in neural networks by dendrite-activated connection
Carlo Metta, Marco Fantozzi, Andrea Papini, Gianluca Amato, Matteo Bergamaschi, Silvia Giulia Galfrè, Alessandro Marchetti, Michelangelo Vegliò, Maurizio Parton and Francesco Morandin



13:00 – 14:00



14:00 - 15:00

Main Hall

Plenary session | Discrete latent variable models: recent advances and perspectives

Keynote speaker: Francesco Bartolucci | Università degli Studi di Perugia, Italy
Chair: Irini Moustaki


15:00 - 15:10



15:10 - 16:40

Invited sessions #3

Room 1

IS-11 | Advances and applications in model-based clustering

Organizer and Chair: Helga Wagner

Modeling zone diameter measurements to infer antibiotic susceptibility of bacteria
Bettina Grün, Thomas Petzoldt and Helga Wagner

Model based clustering procedures for multivariate mixed type longitudinal data
Arnost Komárek

Partial membership models for high-dimensional spectroscopy data
Alessandro Casa, Thomas Brendan Murphy and Michael Fop


Room 2

IS-12 | Selected papers by GfKl - Data Science Society

Organizer and Chair: Adalbert F. X. Wilhelm

Random-based initialization for clustering mixed-type data with the k-prototypes algorithm
Rabea Aschenbruck, Gero Szepannek and Adalbert F. X. Wilhelm

“You call it a manifold, I call it a subspace” – Selected examples on the interface between computer science and statistics in the context of clustering and manifold learning
Daniyal Kazempour and Peer Kröger

Sparse rule generating fold-change classification for molecular high-throughput profiles
Annika M. T. U. Kestler, Nensi Ikonomi, Silke D. Werle, Julian D. Schwab, Friedhelm Schwenker and Hans A. Kestler

Constraint-based attractor search in Boolean networks using quantum computing
Felix M. Weidner, Mirko Rossini, Joachim Ankerhold and Hans A. Kestler


Room 3

IS-13 | New developments in latent variable models

Organizer and Chair: Michela Battauz

Interpretable and accurate scaling in large-scale assessment: a variable selection approach to latent regression
Yunxiao Chen, Motonori Oka and Matthias von Davier

Estimation issues in multivariate panel data
Silvia Bianconcini and Silvia Cagnone

Mid-quantile regression for discrete panel data
Alessio Farcomeni, Alfonso Russo and Marco Geraci

Room 4

IS-14 | Advances in application of statistical methods in household economics

Organizers: Agnieszka Wałęga, Paweł Ulman and Barbara Pawełek
Chair: Paweł Ulman

Inequality, populism, and unfairness: a comparison of unfair income inequalities in Poland and Norway
Tomasz Kwarciński and Paweł Ulman

Comparison of the households’ work intensity in Slovakia and Czechia through Least Squares means analysis based on GLM
Silvia Komara, Martina Košíková, Erik Šoltés and Tatiana Šoltésová

Housing poverty in Europe. Multidimensional analysis
Paweł Ulman, Małgorzata Ćwiek and Maria Sadko


Room 5

IS-15 | Advances in clustering three-way data

Organizer and Chair: Roberto Rocci

A clustering model for three-way asymmetric proximity data
Laura Bocci and Donatella Vicari

Clustering three-way data with outliers
Katharine M. Clark and Paul D. McNicholas

Model-based simultaneous classification and reduction for three-way ordinal data
Monia Ranalli and Roberto Rocci



16:40 – 17:00

Coffee break


17:00 - 18:00

Contributed sessions #1

Room 1

CS-01 | Statistical methods for educational data

Room 2

CS-02 | Statistical modelling I

Chair: Helga Wagner

Matrix-variate hidden Markov regressions
Salvatore D. Tomarchio, Antonio Punzo and Antonello Maruotti

Multilevel cross-classified latent class models
Silvia Columbu, Nicola Piras and Jeroen K. Vermunt

Hidden Markov models for multivariate longitudinal data
Alexa Sochaniwsky and Paul D. McNicholas

Shrinkage of time-varying effects in panel data models
Helga Wagner and Roman Pfeiler


Room 3

CS-03 | Clustering I

Chair: Francesca Martella

Cluster analysis and conditional copula: a joint approach to analyse energy demand
Marta Di Lascio and Roberta Pappadà

Capturing correlated clusters using mixtures of latent class models
Geltraud Malsiner-Walli, Bettina Grün and Sylvia Frühwirth-Schnatter

The multivariate cluster-weighted disjoint factor analyzers model
Francesca Martella, Xiaoke Qin, Wangshu Tu and Sanjena Subedi



Room 4

CS-04 | Bayesian analysis I

Chair: Beatrice Franzolini

Bayesian forecasting of multivariate longitudinal zero-inflated counts: an application to civil conflict
Beatrice Franzolini, Laura Bondi, Augusto Fasano and Giovanni Rebaudo

Bayesian aggregation of crowd judgments for quantitative fact checking
Michele Lambardi di San Miniato, Michela Battauz, Ruggero Bellio and Paolo Vidoni

Bayesian analysis for a graphical t-model
Andriette Bekker, Johan T. Ferreira, J. Pillay and M. Arashi

Group’s heterogeneity in rating tasks: a Bayesian semi-parametric approach
Giuseppe Mignemi, Joanna Manolopoulou and Antonio Calcagnì




​A networking event with music, food, and drink (link)

Church of Saint George & Temple of Pomona (Salerno)

(included in the conference fees)

Day 2 – Tuesday Sept, 12


8:50 – 9:50

Contributed sessions #2

Room 1

CS-06 | Statistical learning for geoscience and energy data

Room 2

CS-07 | Functional data analysis and quality control

Chair: Tonio Di Battista

Method for the quality control and operators training in maintenance activities
Massimiliano Giacalone, Vincenzo Dottorini, Giuseppe Oddo, Vito Santarcangelo and Angelo Romano

Supervised classification of curves by functional data analysis: an application to neuromarketing data
Salvatore Latora and Luigi Augugliaro

Functional data analysis approach for identifying redundancy in air quality monitoring stations
Annalina Sarra, Adelia Evangelista, Tonio Di Battista and Sergio Palermi


Room 3

CS-08 | Statistical embedding

Chair: Giuseppe Bove

Stratified sampling on data nuggets: a strategy for data reduction
Ravi Kumar Gangadharan, Vanessa Petrarca, Maria Chiara Pagliarella, Giovanni C. Porzio

A three-way “indirect” redundancy analysis
Laura Marcis, Maria Chiara Pagliarella and Renato Salvatore

An application of asymmetric multidimensional scaling to the VQR 2015-2019 data
Giuseppe Bove


Room 4

CS-09 | Machine learning

Chair: Paolo Pagnottoni

Fuzzy ensemble machine learning algorithm to improve prediction
Nicolò Biasetton, Riccardo Ceccato, Marta Disegna and Alberto Molena

Explainable machine learning for lending default classification
Golnoosh Babaei, Paolo Pagnottoni and Thanh Thuy Do

AutoSynth index: a synthetic indicator for socio-economic development based on autoencoders
Giulio Grossi and Emilia Rocco

A support vector machine approach to create oblique decision trees for regression
Andrea Carta


Room 5

CS-10 | Network data analysis

Chair: Fulvia Pennoni

Multi-level stochastic blockmodels for multiplex networks
Maria Francesca Marino, Matteo Sani and Monia Lupparelli

A compositional stochastic block model for the analysis of the Erasmus programme network
Iuliia Promskaia, Adrian O’Hagan and Michael Fop

Visualization of proximity and role-based embedding in a regional labour flow network
Sara Geremia, Fabio Morea and Domenico De Stefano

Improving clustering in temporal networks through an evolutionary algorithm
Luca Brusa and Fulvia Pennoni


Room 6

CS-11 | Nonparametric inference and resampling

9:50 - 10:00



10:00 - 11:00

Main Hall

Plenary session | Selective inference after variable selection by the randomized group lasso method

Keynote speaker: Gerda Claeskens| Katholieke Universiteit Leuven, Belgium
Chair: Maria Giovanna Ranalli


11:00 – 11:30

Coffee break


11:30 – 13:00

Invited sessions #4

Room 1

IS-16 | Selected papers by the SFC - Société Française de Classification

Organizer and Chair: Ndèye Niang

Distances, orders and spaces
Pascal Préa

Clustering longitudinal ordinal data
Julien Jacques and Francesco Amato

Multiple imputation for clustering on incomplete data
Vincent Audigier and Ndèye Niang


Room 2

IS-17 | Anomaly detection

Organizer and Chair: Mia Hubert

The cellwise Minimum Covariance Determinant estimator
Jakob Raymaekers and Peter J. Rousseeuw

Visualizing anomalies in circular data
Davide Buttarazzi and Giovanni C. Porzio

A proposal for the joint automated detection of clusters and anomalies
Luis A. García-Escudero, Christian Hennig, Agustín Mayo-Iscar, Gianluca Morelli and Marco Riani


Room 3

IS-18 | Latent variable models for complex data structures

Organizer and Chair: Carla Rampichini

DIF analysis with unknown groups and anchor items
Gabriel Wallin, Yunxiao Chen and Irini Moustaki

A two-component Markov switching regression model
Roberto Colombi and Sabrina Giordano

Test equating with evolving latent ability
Silvia Bacci, Bruno Bertaccini, Carla Galluccio, Leonardo Grilli and Carla Rampichini


Room 4

IS-19 | Advances in clustering and dimensionality reduction
Organizer : Carlo Cavicchia
Chair: Michel van de Velden

Ultrametric Gaussian Mixture models with parsimonious structures
Giorgia Zaccaria

Clusterpath Gaussian graphical modeling
Daniel J. W. Touw, Patrick J. F. Groenen, Ines Wilms and Andreas Alfons

Improved interpretation methods for joint multidimensional scaling and cluster analysis with external information
Michel van de Velden, Carlo Cavicchia and Maurizio Vichi


Room 5

IS-20 | Advanced clustering methods for complex networks

Organizers: Maria Prosperina Vitale and Giuseppe Giordano
Chair: Maria Prosperina Vitale

Cluster analysis for the study of online visual communication
Matteo Magnani, Matias Piqueras, Alexandra Segerberg, Davide Vega and Victoria Yantseva

Mobility across crimes: statistically validated networks and temporal pattern recognition
Vincenzo Genova, C. Edling, H. Mondani, A. M. Rostami and M. Tumminello

Cluster analysis of cancer metabolic network ensembles
Ichcha Manipur, Ilaria Granata, Lucia Maddalena and Mario R. Guarracino

Evaluation of the performance of a modularity-based consensus community detection algorithm
Fabio Morea and Domenico De Stefano



13:00 – 14:00



14:00 – 15:00

Main Hall

Plenary session | Rage against the mean – an introduction to distributional regression

Keynote speaker: Thomas Kneib | Georg-August-Universität Göttingen, Germany
Chair: Helga Wagner


15:00 - 15:10



15:10 - 16:40

Invited sessions #5

Room 1

IS-21 | Robust procedures

Organizer and Chair: Claudio Agostinelli

Efficiency and robustness in supervised learning
Anand Vidyashankar, Fengnan Deng, Giacomo Francisci and Xiaoran Jiang

Outlier explanation based on Shapley values for vector- and matrix-valued observations
Peter Filzmoser and Marcus Mayrhofer

Trimmed kernel mean shift
Luca Greco, Giovanna Menardi and Marco Rudelli


Room 2

IS-22 | eXplainable Artificial Intelligence

Organizers: Leonardo Grilli and Michele La Rocca
Chair: Leonardo Grilli

From accuracy to robustness of AI systems
Paolo Giudici and Emanuela Raffinetti

Explainable machine learning for bag of words-based phishing detection
Maria Carla Calzarossa, Paolo Giudici and Rasha Zieni

Network interference and effect modification
Falco J. Bargagli-Stoffi, Costanza Tortú and Laura Forastiere

Optimal and robust combination of forecasts via constrained optimization and shrinkage
Frédéric Vrins


Room 3

IS-23 | Measurement uncertainty in complex models

Organizer and Chair: Zsuzsa Bakk

An R package for multilevel latent class analysis with covariates
Johan Lyrvall, Roberto Di Mari, Zsuzsa Bakk, Jennifer Oser and Jouni Kuha

Three-step rectangular latent Markov modeling based on ML correction
Rosa Fabbricatore, Roberto Di Mari, Zsuzsa Bakk, Mark de Rooij and Francesco Palumbo

Trimmed factorial k-means
Matteo Farnè

Measurement invariance testing of latent class models using residual statistics and likelihood ratio test
Zsuzsa Bakk


Room 4

IS-24 | Functional and object-oriented data analysis

Organizers : Simone Vantini and Silvia Montagna
Chair : Simone Vantini

Clustering imbalanced functional data
Michelle Carey and Catherine Higgins

Nonparametric local inference for functional data defined on manifold domains
Niels Lundtorp Olsen, Alessia Pini and Simone Vantini

Sparse clustering for functional data
Fabio Centofanti, Antonio Lepore and Biagio Palumbo


Room 5

IS-25 | Latent variable and hidden Markov models for Big Data Analytics

Organizer and Chair: Fulvia Pennoni

How to build your latent Markov model: the role of time and space
Roland Langrock and Sina Mews

Tree-based regression within a hidden Markov model framework
Rouven Michels, Timo Adam and Marius Ötting

Case-control variational inference for large scale stochastic block models
Silvia Pandolfi and Francesco Bartolucci


Room 6

IS-26 | Advances in directional statistics

Organizers: Stefania Fensore and Agnese Panzera
Chair: Agnese Panzera

Data-driven smoothing parameter selection for circular data analysis
Jose Ameijeiras-Alonso

Circular regression with measurement errors
Marco Di Marzio, Chiara Passamonti and Charles Taylor

Segmenting toroidal time series by nonhomogeneous hidden semi-Markov models
Francesco Lagona and Marco Mingione



16:40 - 17:00

Coffee break


17:00 - 18:00

Contributed sessions #3

Room 1

CS-12 | Classification methods

Chair: Simona Balzano

Real-time discriminant analysis in the presence of label and measurement noise
Mia Hubert, Iwein Vranckx, Jakob Raymaekers, Bart De Ketelaere and Peter Rousseeuw

A supervised classification strategy based on the novel directional distribution depth function
Edoardo Redivo and Cinzia Viroli

Comparing soft classification methods for the rare type match problem
Giulia Cereda, Fabio Corradi and Cecilia Viscardi

Visualizing classification results: graphical tools for DD-classifiers
Houyem Demni and Simona Balzano


Room 2

CS-13 | Statistical inference

Chair: Marcella Niglio

A statistical test to assess the non-normality of the latent variable distribution
Lucia Guastadisegni, Irini Moustaki, Silvia Cagnone and Vassilis Vasdekis

Complete records over independent FGM sequences
Amir Khorrami Chokami

Goodness–of–fit test for single functional index model
Lax Chan and Aldo Goia

Maximum likelihood approach to parameter selection in the spectral clustering algorithm
Cinzia Di Nuzzo and Salvatore Ingrassia


Room 3

CS-14 | Clustering II

Chair: Christian Henning

Modal clustering for categorical data
Noemi Corsini and Giovanna Menardi

A proposal of deep fuzzy clustering by means of the simultaneous approach
Claudia Rampichini and Maria Brigida Ferraro

A method to validate clustering partitions
Luca Frigau, Giulia Contu, Marco Ortu and Andrea Carta

Quantifying variable importance in cluster analysis
Christian Hennig and Keefe Murphy


Room 4

CS-15 | Statistical methods for high-dimensional and positional data

Room 5

CS-16 | Bayesian analysis II

Chair: Andrea Tancredi

One-inflated Bayesian mixtures for population size estimation
Davide Di Cecco, Andrea Tancredi and Tiziana Tuoto

Personalized treatment selection model for survival outcomes
Matteo Pedone, Raffaele Argiento and Francesco C. Stingo

A Bayesian spatio-temporal regression approach for confounding adjustment
Carlo Zaccardi, Pasquale Valentini and Luigi Ippoliti


Room 6

CS-17 | Time series analysis I

Chair: Domenico Piccolo

Customer satisfaction and motivation in film tourism: analysis of textual TripAdvisor data
Rosa Arboretti, Elena Barzizza, Nicolò Biasetton and Marta Disegna

Markov switching autoregressive models for the analysis of hydrological time series
Roberta Paroli and Luigi Spezia

Classification of daily streamflow data: a study on regime changes
Marcella Corduas and Domenico Piccolo



18:00 – 18:45

Main Hall

ClaDAG Assembly


18:45 – 19:00

Main Hall

PhD Student/Young Researcher Best Paper Award



Social Dinner (link)

Diocesan Museum (Salerno)

Day 3 – Wednesday Sept, 13


8:50 - 9:50

Contributed sessions #4

Room 1

CS-18 | Markov models and quantile regression

Chair: Cristina Davino

Inference on the state distribution in periodic hidden Markov models
Carlina C. Feldmann, Sina Mews, Rouven Michels and Roland Langrock

Measurement invariance: a method based on latent Markov models
Francesco Dotto, Roberto Di Mari, Alessio Farcomeni and Antonio Punzo

A comparison between the varying-thresholds model and quantile regression
Niccolò Ducci, Leonardo Grilli and Marta Pittavino

The use of principal components in quantile regression: a simulation study
Cristina Davino, Tormod Næs, Rosaria Romano and Domenico Vistocco


Room 2

CS-19 | Statistical methods for official and administrative data

Chair: Flora Fullone

An application of CART algorithm to administrative data: analysis of youth initial employment trajectories
Ilaria Rocco

Analysis of the need for working timber starting from Istat industrial production data
Flora Fullone, Gianmarco Farina, Enza Compagnone, Mirella Morrone and Gioacchino de Candia

A case study of electronic medical records use for predicting kidney injury
Davide Passaro, Luca Tardella, Giovanna Jona Lasinio, Tiziana Fragasso, Valeria Raggi and Zaccaria Ricci


Room 3

CS-20 | Clustering and regression trees

Chair: Marcella Niglio

Multivariate regression tree to investigate the Italian mortality rates
Giulia Contu, Luca Frigau, Marco Ortu and Sara Pau

One-dimensional mixture-based clustering for ordinal responses
Kemmawadee Preedalikit, Daniel Fernández, Ivy Liu, Louise McMillan, Marta Nai Ruscone and Roy Costilla

A proposal to evaluate the solution of a fuzzy clustering algorithm
Carmela Iorio, Giuseppe Pandolfo and Antonio D’Ambrosio

Model-based clustering for torus data
Luca Greco, Antonio Lucadamo and Claudio Agostinelli



Room 4

CS-21 | Statistical learning

Chair: Rosaria Simone

A flexible topic model
Roberto Ascari and Alice Giampino

Fuzzy functions with elastic-net estimators based on possibilistic FCM
Nihat Tak

Residuals diagnostics for model-based trees for ordered rating responses
Rosaria Simone

Multivariate regression tree topic modeling
Marco Ortu, Giulia Contu and Luca Frigau


Room 5

CS-22 | Statistical methods for socio-economic data II

Chair: Antonella Bianchino

How women react to their partners’ work instability. The added-worker effect
Donata Favaro and Anna Giraldo

A comparative study of financial literacy using data from PISA survey
Sabrina Giordano, Roberta Varriale and Mariangela Zenga

An interdisciplinary methodology for socio-economic segregation analysis
Antonio De Falco and Antonio Irpino

Tourism as support in the economic development of inner areas: a multi-sources approach
Antonella Bianchino, Daniela Fusco, Paola Giordano, Maria Antonietta Liguori, Maria Carmina Palma and Donato Summa



9:50 - 10:00



10:00 - 11:00

Main Hall

Plenary session | On Graph Limits as Models for Interaction Data

Keynote speaker: Sofia Charlotta Olhede | École Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Chair: Mario Rosario Guarracino


11:00 - 11:20

Coffee break


11:20 - 12:50

Invited sessions #7

Room 1

IS-27 | Advances in Bayesian Factor Analysis

Organizer and Chair: Silvia Montagna

Integrative factor models for biomedical applications
Alejandra Avalos-Pacheco and Roberta De Vito

Normalized latent measure factor models
Mario Beraha and Jim E. Griffin

Latent Bayesian clustering for topic modelling
Lorenzo Schiavon


Room 2

IS-28 | Statistical learning methods in finance and business

Organizers : Paweł Lula and Barbara Pawełek
Chair : Paweł Lula

Corporate bankruptcy prediction: application of statistical learning methods
Barbara Pawełek and Maria Sadko

Deep neural network in the modeling of the dependence structure in risk aggregation
Anna Denkowska, Krystian Szczęsny, Joao Vieito and Stanisław Wanat

The comparative analysis of publication activity in Hungary and Poland in the field of economics, finance and business
Paweł Lula, Zsuzsanna Géring, Magdalena Talaga, Ildikó Dén-Nagy and Réka Tamássy


Room 3

IS-29 | Networks and higher-order networks data analysis and applications

Organizer and Chair: Mario Rosario Guarracino

Cluster analysis for networks using a fuzzy approach
Ilaria Bombelli, Ichcha Manipur and Maria Brigida Ferraro

The broad phenotype-specific applications of the network-based SWIM tool
Federica Conte and Paola Paci

Testing graph clusterability: a density based statistical test for directed graphs
Houyem Demni, Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo and Yuri Lawryshyn


Room 4

IS-30 | Selected papers by CLAD - Recent advances in symbolic data analysis

Organizers: Paula Brito and José G. Dias
Chair: José G. Dias

Multiclass classification of distributional data
Ana Santos, Sónia Dias, Paula Brito and Paula Amaral

Visualizing interval Fisher Discriminant Analysis results
M. Rosário Oliveira, Diogo Pinheiro and Lina Oliveira

Sparse and robust estimators for outlier detection in distributional data
Pedro Duarte Silva, Peter Filzmoser and Paula Brito


Room 5

IS-31 | Preference Data Analysis

Organizers: Claudio Conversano and Antonio D’Ambrosio
Chair: Claudio Conversano
Discussant: Antonio D’Ambrosio

Scoring distances between equivalence and preference relations
Boris Mirkin

Distance-based aggregation and consensus for preference-approvals
Alessandro Albano, Mariangela Sciandra and Antonella Plaia

A new accurate heuristic algorithm to solve the rank aggregation problem with a large number of objects
Maurizio Romano and Roberta Siciliano



12:50 - 13:40



13:40 - 14:25

Contributed sessions #5

Room 1

CS-23 | Time series analysis II

Chair: Paola Cerchiello

Granger network on Santa Maria del Fiore Dome
Fiammetta Menchetti

A testing approach to detect COVID-19 waves
Arianna Agosto and Paola Cerchiello


Room 2

CS-24 | Statistical modelling II

Chair: Francesco Palumbo

Efficient computation of predictive probabilities in probit models via expectation propagation
Augusto Fasano, Niccolò Anceschi, Beatrice Franzolini and Giovanni Rebaudo

Lattice of Gaussian graphical models for paired data with common undirected structure
Dung Ngoc Nguyen and Alberto Roverato

Finite mixture models: a systematic review
José G. Dias


Room 3

CS-25 | GLM and survival models

Room 4

CS-26 | Panel and compositional data

Chair: Luigi Spezia

Testing clusters of locations in spatial dynamic panel data models
Giuseppe Feo, Francesco Giordano, Marcella Niglio, Sara Milito and Maria Lucia Parrella

Structural zeros in regression models with compositional explanatory variables
Francesco Porro

Assessing the degree of competitiveness among countries in the EU using Eurostat indicators
Paolo Mariani, Andrea Marletta, Piero Quatto and Mariangela Zenga

Room 5

CS-27 | Clustering III

Chair: Maria Lucia Parrella

A clustering method for distributional data based on a LDQ transformation
Rosanna Verde, Gianmarco Borrata and Antonio Balzanella

A Stata implementation of cluster weighted models: the CWMGLM package
Daniele Spinelli, Salvatore Ingrassia and Giorgio Vittadini

K-means clustering – new variations
Andrzej Sokołowski, Małgorzata Markowska and Maciej Laburda



14:25 - 14:30



14:30 - 15:30

Main Hall

Plenary session | To get the best, tame the beast: robust ML estimation for mixture models

Keynote speaker: Francesca Greselin |Università degli Studi Milano-Bicocca, Italy
Chair: Cinzia Viroli


15:30 - 15:45

Main Hall

Closing and farewell

Carla Rampichini, Chair Scientific Committee | Michele La Rocca, Chair Local Organizing Committee