Conference Program
Day 1 – Monday Sept, 11
8:00
TBA
Registration open
9:00 - 9:30
Main Hall
Opening
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
Chair: Yoshikazu Terada
On some properties of reconstructed trajectories from sparse longitudinal data
Yoshikazu Terada
Two extensions of extended redundancy analysis for exploratory data analysis
Naoto Yamashita
Clustering for sparsely sampled longitudinal data based on basis expansions
Michio Yamamoto and Yoshikazu Terada
Room 4
IS-04 | Performance estimation and players’ classification: an overlook into sports analytics
Organizer and Chair: Luca Grassetti
Uncertainty and response style in latent trait models to assess emotional intelligence of elite swimmers
Rosa Fabbricatore and Maria Iannario
The Generalized Shapley measure for ranking players in basketball: applications and future directions
Rodolfo Metulini, Francesco Biancalani and Giorgio Gnecco
Estimation of team’s strength for handball games predictions
Florian Felice and Christophe Ley
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
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
Lunch
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
Break
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
Chair: Michela Battauz
Propensity towards Master’s degree: choices of northern students after BAs?
Giuseppe Alfonzetti, Luca Grassetti and Laura Rizzi
When nonresponse makes estimates from a census small area estimation problem: the case of the survey on graduates’ Employment Status in Italy
Maria Giovanna Ranalli, Fulvia Pennoni, Francesco Bartolucci and Antonietta Mira
Classifying northern Italian students in their transition to Master degree
Giuseppe Alfonzetti, Luca Grassetti and Laura Rizzi
A competing risk analysis of academic careers with students’ ability and speed as predictors
Michela Battauz
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
Room 5
CS-05 | Statistical methods for socio-economic data I
Chair: Christian Usala
Building improved gender equality composite indicators by object-oriented Bayesian networks
Lorenzo Giammei, Flaminia Musella, Fulvia Mecatti and Paola Vicard
On model-based clustering for equitable and sustainable well-being at local level: how many Italies?
Natalia Golini, Francesca Martella and Antonello Maruotti
Inequalities at entrance, labour market conditions and university dropout: first evidence from Italy
Cristian Usala, Isabella Sulis and Mariano Porcu
19:00
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
Chair: Germana Scepi
Linear random forest to predict energy consumption
Gianpaolo Zammarchi
Hierarchical percentile clustering to analyse greenhouse gas emissions from agriculture in European Union
Marta Di Lascio, Fabrizio Durante and Aurora Gatto
Efficient disentangling γ-ray sources from diffuse background in the sky map
Francesco Freni and Giovanna Menardi
Spatial modelling of pyroclastic cover deposit thickness with remote sensing data and ground measurements: a forecasting combination approach
Raffaele Mattera, Germana Scepi, Pooria Ebrahimi and Fabio Matano
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
Chair: Domenico Vistocco
Adoption of 4.0 technologies and related obstacles. Application of a multivariate nonparametric test for categorical variables
Stefano Bonnini and Michela Borghesi
A multivariate permutation test for association
Elena Barzizza, Riccardo Ceccato, Solomon Harrar, Fortunato Pesarin and Luigi Salmaso
DEndrogram Slicing through a PermutatiOn Test Approach reconsidered
Lucio Palazzo, Alfonso Iodice D’Enza, Francesco Palumbo and Domenico Vistocco
9:50 - 10:00
Break
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
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
Lunch
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
Break
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
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
Chair: Ursula Laa
Modelling soccer players field position via mixture of Gaussians with flexible weights
Marco Berrettini, Giuliano Galimberti, Thomas Brendan Murphy and Saverio Ranciati
New tour methods for visualizing high-dimensional data
Ursula Laa and Dianne Cook
A new alternative method for simultaneous feature selection and determination of influential data points in Cox model with high dimensional dataset
Nuriye Sancar and Deniz Inan
Robust penalized multivariate analysis for high-dimensional data
Pia Pfeiffer and Peter Filzmoser
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
20:30
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
Break
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
Lunch
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
Chair: Marialuisa Restaino
Student mobility in higher education: a destination-specific local analysis
Luca Scaffidi Domianello
Detecting the positions of nonconsensus amino acids in HIV patients by marginal likelihood thresholding
Claudia Di Caterina
Variable ranking in bivariate copula survival models
Danilo Petti, Marcella Niglio and Marialuisa Restaino
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
Break
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