Program Schedule 2022

31 August 2022

16.00-17.00 Registration

17.00-17.15 Opening

17.15-18.40 Talk Session 1
Benford's Law for Anomaly and Fraud Detection
Chair: Domenico Perrotta (Joint Research Centre (JRC), Ispra, Italy)

Lucio Barabesi, Andrea Cerioli, Marco Di Marzio (University of Chieti-Pescara, Italy)
Statistical models and the Benford hypothesis: A unifying framework
Peter Filzmoser (TU Wien, Austria), Nermina Mumic
Benford goes multivariate: A new fraud detection method, with application to music streaming data
Andrea Cerioli (Italy), Lucio Barabesi, Andrea Cerasa, Domenico Perrotta
Who is afraid of the probability-savvy fraudster?

18.40-19.35 Keynote Lecture 1
Robustness issues in subspace clustering
Luis-Angel García Escudero (Universidad de Valladolid, Spain)
Chair: Peter Filzmoser (TU Wien, Austria)

19.40-21.15 Welcome Cocktail

1 September 2022

08.30-09.55 Talk Session 2
Robust Model-based Clustering and Outlier Detection
Chair:Pietro Coretto (University of Salerno, Italy)

Andrea Cappozzo, Luis Angel Garcia-Escudero, Francesca Greselin (University of Milano Bicocca, Italy), Agustín Mayo-Iscar
Monitoring the robust Cluster-Weighted model
Matteo Farnè (University of Bologna, Italy), Angelos Vouldis
Banks’ business models in the euro area: a cluster analysis in high dimensions
Hung Tong (The University of Alabama, USA), Cristina Tortora
Directional Outlier Detection and Robust Model-Based Clustering with Missing Data

09.55-10.50 Keynote Lecture 2
Perturb and Conquer: how Classification Can Benefit from Data Perturbation
Angela Montanari (University of Bologna, Italy)
Chair: Maurizio Vichi (Sapienza University of Rome, Italy)

10.50-11.20 Coffee Break

11.20-12.45 Talk Session 3
Elliptical Mixture Models
Chair: Gertraud Malsiner-Walli (Vienna University of Economics and Business, Austria)

Carlo Cavicchia, Maurizio Vichi (Sapienza University of Rome, Italy), Giorgia Zaccaria
A class of parsimonious Gaussian mixture models with an extended ultrametric covariance structure
Pietro Coretto (University of Salerno, Italy), Christian Hennig
Nonparametric consistency for ML estimation and clustering with finite mixtures of elliptically symmetric distributions
Luca Scrucca (University of Perugia, Italy),
Gaussian Mixtures Using Range-Logit Transformation with an Application to Image Segmentation

12.45-14.00 Lunch

14.00-15.25 Talk Session 4
Latent Class Models
Chair: Cinzia Viroli (University of Bologna, Italy)

Silvia Columbu (University of Cagliari, Italy), Jeroen K. Vermunt
Multilevel Latent Class Models for cross-classified data
Sylvia Frühwirth-Schnatter, Bettina Grün, Gertraud Malsiner-Walli (Vienna University of Economics and Business, Austria)
Capturing Correlated Clusters Using Mixtures of Latent Class Models
Rosa Fabbricatore (University of Naples Federico II, Italy), Roberto Di Mari, Zsuzsa Bakk, Mark de Rooij, Francesco Palumbo
A three-step rectangular Latent Markov modelling for a recommender system in self-learning platforms

15.25-16.20 Keynote Lecture 3
Robust selection of the number of clusters and of the clustering structure using Bayesian methods
Judith Rousseau (University of Oxford, UK)
Chair: Agustín Mayo Iscar (Universidad de Valladolid, Spain)

16.20-16.50 Coffee Break

16.50-17.20 Lightning Talk Session 1
Chair: Michael Fop (University College Dublin, Ireland)

Marco Berrettini (University of Bologna, Italy), Giuliano Galimberti, Saverio Ranciati
Bayesian semiparametric finite mixture of regression models
Luca Brusa (University of Milano Bicocca, Italy), Catherine Matias
A stochastic blockmodel for hypergraphs
Yana Melnykov (The University of Alabama, USA), Xuwen Zhu
On finite mixture modeling of change-point processes
Iuliia Promskaia (University College Dublin, Ireland), Adrian O'Hagan, Michael Fop
Model-based clustering for network-linked data
Galina Andreeva (University of Edinburgh Business School, UK)
Open Banking challenges for clustering and classification
Francesca Torti, Gabrielle Voiseaux, Domenico Perrotta (European Commssion, Joint Research Centre (JRC), Ispra, Italy)
Robustness issues for semi-supervised learning of financial frauds
Ilia Sucholutsky (Princeton University, USA), Thomas L. Griffiths
Learning to Classify From Almost No Data

17.20-18.45 Talk Session 5
Supervised and Unsupervised Learning for Anomaly and Fraud Detection
Chair: Galina Andreeva ( University of Edinburgh Business School, UK)

Clarisse Boinay (INRIA and Seckiot, France), Christophe Biernacki, Cristian Preda, Thomas Anglade
Variational inference of a stochastic block Model for a sequence of graphs for testing abnormality: application to cybersecurity
Edoardo Fibbi (KU Leuven, Belgium and Joint Research Centre (JRC), Ispra, Italy), Tim Verdonck, Stefan Van Aelst, Francesca Torti, Domenico Perrotta
A robust co-clustering approach to short texts
Félix Vandervorst (Katholieke Universiteit Leuven, University of Antwerp, Belgium), Wouter Verbeke, Tim Verdonck
Supervised Learning with Uncertain Labels for Claims Fraud Detection

20.45 Workshop Dinner (meeting at 20.00)

2 September 2022

08.45-10.10 Talk Session 6
Non-Gaussian Mixture Models 1
Chair: Cristina Tortora (San José State University, USA)

Michael Fop (University College Dublin, Ireland), Federica Benassi, Giuliano Galimberti
Model-based clustering of mixed-type data via mixtures of mixed graphical models
Tin Lok James Ng (University College Dublin, Ireland), Andrew Zammit-Mangion
Mixture of Normalizing Flows for spherical density estimation
Garritt L. Page (Brigham Young University, USA), Maria Franco-Villoria, Massimo Ventrucci
Informed Finite Mixture Models

10.10-10.35 Lightning Talk Session 2
Chair: Shuchismita Sarkar (Bowling Green State University, USA)

Alessandro Bitetto (University of Pavia, Italy), Paola Cerchiello
Oracle-LSTM: a neural network approach to mixed frequency time series prediction
Ilaria Bombelli (Sapienza University of Rome), Maurizio Vichi
Fuzzy clustering of a set of dissimilarity matrices by consensus parsimonious dendrograms
Martina Boschi (University of Bologna, Italy), Ernst-Jan Camiel Wit
Relational Event models with time varying and random effects: an application to the alien species invasions
Cinzia Di Nuzzo (Sapienza University of Rome), Donatella Vicari
A clustering model for skew-symmetric data
Nicola Piras (University of Cagliari, Italy), Silvia Columbu
SEM-Gibbs algorithm for Multilevel Cross-Classified Latent Class analysis of Binary Data
Andrej Svetlošák (University of Edinburgh, UK), Miguel de Carvalho, Gabriel Martos Venturini, Raffaella Calabrese
Divide and Conquer: Cluster Analysis with a Different Number of Clusters per Margin

10.35-11.05 Coffee Break

11.05-12.00 Keynote Lecture 4
Finite mixture modeling in stylometry with applications
Volodymyr Melnykov (University of Alabama, USA)
Chair: Christophe Biernacki (INRIA, Lille, France)

12.00-13.25 Talk Session 7
Non-Gaussian Mixture Models 2
Chair: Garitt Page (Brigham Young University, USA)

Andriette Bekker (University of Pretoria, South Africa), Johan Ferreira, Salvatore Tomarchio, Antonio Punzo
Innovative reparametrized beta- and gamma mixture models in a contamination setting
Nam-Hwui Kim (University of Waterloo, Canada), Ryan Browne
Mode Merging for Non-Gaussian Finite Mixtures
Emiliano Seri (Sapienza University of Rome), Thomas Brendan Murphy, Roberto Rocci
Partial membership models for soft clustering of multivariate count data

13.25-14.30 Lunch

14.30-14.55 Lightning Talk Session 3
Chair: Nam-Hwui Kim (University of Waterloo, Canada)

Salvatore D. Tomarchio (University of Catania, Italy), Antonio Punzo, Luca Bagnato
The multivariate skew shifted exponential normal distribution and its use in finite mixture modeling
Anna Gottard, Giulia Vannucci, Leonardo Grilli (University of Florence, Italy), Carla Rampichini
Mixed-effect models with treess
Thais Pacheco Menezes (University College Dublin, Ireland), Michael Fop, Thomas Brendan Murphy
Hausdorff Distance: A powerful tool for matching households and individuals in historical censuses
Fabiola Del Greco-M. (Institute for Biomedicine, Eurac Research, Bolzano, Italy ), Chiara Volani, Johannes Rainer, Giuseppe Paglia, Peter P. Pramstaller
Machine learning algorithm to identify a metabolic profile able to predict biomarkers levels
Andrea Maugeri (University of Catania, Italy), Martina Barchitta, Giuliana Favara, Claudia La Mastra, Maria Clara La Rosa, Roberta Magnano San Lio, Antonella Agodi
Clustering on Principal Components to Derive Dietary Patterns in Nutritional Epidemiology
Lutecia Servius (King's College London, England), Davide Pigoli, Franca Fraternali, Joseph Chi-Fung Ng
A Comparison of Classification Methods for Sequencing Data in Immunology

14.55-15.50 Keynote Lecture 5
A Bayesian two-way latent structure clustering model for genomic data integration with an application to subtyping breast cancer
Arnoldo Frigessi (Oslo Centre for Biostatistics & Epidemiology, Norway)
Chair: Angela Montanari (University of Bologna, Italy)

15.50-16.35 Coffee Break

16.35-18.15 Talk Session 8
Models and Applications in Medicine
Chair: Arnoldo Frigessi (Oslo Centre for Biostatistics & Epitemiology, Norway)

Silvia D'Angelo (University College Dublin, Ireland), Lorraine Brennan and Isobel Claire Gormley
A Latent Variable Approach to Infer Intake from Multiple Biomarker Measurements
Elisabeth Griesbauer (Technische Universität München. Germany), Claudia Czado, Arnoldo Frigessi, Ingrid Hobæk Haff
Vine-Copula Synthetic Data Generation For Classification
Luca Martino (Universidad Rey Juan Carlos, Spain), Roberto San Millan-Castillo, Eduardo Morgado
Spectral information criterion: reducing drastically the number of possible models
Shuchismita Sarkar (Bowling Green State University, USA), Xuwen Zhu
Multiple change point clustering of count processes