Scientific Program and Schedule


September 2, 2020

15.30-15.45     Opening

15.45-16.40     Keynote Lecture 1
Thomas Brendan Murphy (University College Dublin, School of Mathematics & Statistics, Dublin, Ireland)
Model-Based Clustering with Parsimonious and Sparse Covariance
Chair: Maurizio Vichi (Italy)


16.45-18.15     Talk Session 1
Supervised and semisupervised clustering
Chair: Malgorzata Bogdan (Poland)

  • Andrea Cappozzo ((University of Milano-Bicocca, Italy), Francesca Greselin, Thomas Brendan Murphy
    Variable selection for robust model-based classification of contaminated spectra
  • Christian Hennig (University of Bologna, Italy), Davide Rapagnani
    k-means and Regression Prediction
  • Luca Frigau (University of Cagliari, Italy), Giulia Contu and Francesco Mola
    Tree-based community detection clustering


September 4, 2020

15.30-16.25     Keynote Lecture 2
Kweku Abraham, Ismael Castillo, Elisabeth Gassiat (Laboratoire de Mathématiques d'Orsay, Université Paris-Saclay, France)
Bayesian multiple testing in Hidden Markov Models
Chair: Luis Angel García-Escudero (Spain)


16.30-18.00     Talk Session 2
Models for complex data structures
Chair: Francesca Greselin (Italy)

  • Brunero Liseo (University of Rome La Sapienza, Italy), Andrea Tancredi
    Mixture modeling and deduplication problems
  • Monia Ranalli (University of Rome La Sapienza, Italy), Roberto Rocci
    Mixture of factor analyzers for mixed-type data via a composite likelihood approach
  • Salvatore D. Tomarchio (University of Catania, Italy), Antonio Punzo, Luca Bagnato
    Clustering three-way data with a new mixture of Gaussian scale mixtures

18.10-18.40     Poster Discussion Session 1
Chair: Laura Anderlucci (Italy)
  • Luca Coraggio (University of Naples Federico II, Italy), Pietro Coretto
    In-sample and cross-validated likelihood-type criteria for clustering selection
  • F.J. Clouth (Tilburg University, Tilburg, The Netherlands), S. Pauws, J.K. Vermunt
    On the use of inverse propensity weighting in latent class analysis
  • Hung Tong, Cristina Tortora (San José State University, USA)
    Cluster analysis and outlier detection with missing data


September 11, 2020

15.30-16.25     Keynote Lecture 3
Jiahua Chen (Department of Statistics, University of British Columbia, Vancouver, Canada)
Development of EM-tests in Finite Mixture Models
Chair: Weixin Yao (USA)


16.30-18.00     Talk Session 3
Hierarchical modeling in clustering
Chair: Roberto Rocci (Italy)

  • Zsuzsa Bakk (Leiden University, The Netherlands), Roberto Di Mari, Jennifer Oser
    Two-stage multilevel latent class analysis with co-variates in the presence of direct effects
  • Carlo Cavicchia, Maurizio Vichi (University of Rome La Sapienza, Italy), Giorgia Zaccaria
    A parsimonious parameterization of a nonnegative correlation matrix
  • Sylvia Frühwirth-Schnatter, Jan Greve, Bettina Grün (Wirtschaftsuniversität Wien, Austria), Gertraud Malsiner-Walli
    Model-Based Clustering with Bayesian Gaussian Mixtures

18.10-18.45     Poster Discussion Session 2
Chair: Monia Ranalli (Italy)
  • Marco Bee (University of Trento, Italy)
    Lognormal or Pareto? A classification approach
  • Francesco Denti, Andrea Cappozzo (University of Milano-Bicocca, Italy), and Francesca Greselin
    Bayesian Nonparametric Functional Novelty Detector
  • Roberto Di Mari, Roberto Rocci and Stefano Antonio Gattone (University G. d’Annunzio, Chieti-Pescara, Italy)
    Lasso-penalized clusterwise linear regression modeling with the soft-LARS algorithm
  • Gabriele Soffritti (University of Bologna, Italy)
    Estimating variances and covariances of the ML estimator under linear cluster-weighted models


September 18, 2020

15.30-16.25     Keynote Lecture 4
Gianluca Bontempi (Machine Learning Group - Département d'Informatique, Université Libre de Bruxelles, Belgium)
From supervised learning to causal inference in large dimensional settings
Chair: Kim De Roover (The Netherlands)


16.30-18.00     Talk Session 4
Model-based clustering with factor analyzers
Chair: Volodymyr Melnykov (USA)

  • Kim De Roover (Tilburg School of Social and Behavioral Sciences, The Netherlands), Geoffrey McLachlan
    Measurement invariance from the inside out: Nested mixtures of factor analyzers for capturing non-invariance within groups
  • Michael P.B. Gallaugher, Paul D. McNicholas (McMaster University, Canada)
    Clustering Three-Way Data via Mixtures of Skewed Matrix Variate Bilinear Factor Analyzers
  • Wangshu Tu (Binghamton University, USA), Yuan Fang, Sanjeena Subedi
    A novel biclustering algorithm for microbiome data

18.10-18.45     Poster Discussion Session 3
Chair: Salvatore D. Tomarchio (Italy)
  • Cristina Davino, Domenico Vistocco (University of Naples Federico II, Italy)
    Clustering and Modeling Data. A Quantile Regression Approach
  • Luca Frigau (University of Cagliari, Italy), Tahir Ekin and Claudio Conversano
    Cluster Validity by Random Forests
  • Massimo Mucciardi (University of Messina, Italy), Giovanni Pirrotta and Andrea Briglia
    EM Clustering method and first language acquisition
  • Mariangela Sciandra (University of Palermo, Italy), Alessandro Albano, Antonella Plaia, Irene Carola Spera
    Impact of the COVID-19 pandemic on music: a method for clustering sentiments


September 25, 2020

15.30-16.25     Keynote Lecture 5
Juan Antonio Cuesta-Albertos , Subhajit Dutta (Departamento de Matemáticas, Facultad de Ciencias, Universidad de Cantabria, Spain)
The blessing of (infinite) dimensionality
Chair: Angela Montanari (Italy)


16.30-18.00     Talk Session 5
Models for categorical data
Chair: Paul McNicholas (Canada)

  • Filippo Antonazzo (Inria, Université de Lille, CNRS, France), Christophe Biernacki, Christine Keribin
    A binned technique for scalable model-based clustering on huge datasets
  • Leonie V.D.E. Vogelsmeier (Tilburg University, The Netherlands), Jeroen K. Vermunt, Kim De Roover
    Latent Markov Factor Analysis: A mixture modeling approach for evaluating within- and between-person measurement model differences in intensive longitudinal data
  • Yingying Zhang, Volodymyr Melnykov (University of Alabama, Tuscaloosa, AL, USA)
    Finite mixture modeling of time-dependent categorical sequencess



18.00-18.10     Closing


Papers to be presented in Video-Posters

  • Marco Bee (University of Trento, Italy)
    Lognormal or Pareto? A classification approach

  • Luca Coraggio (University of Naples Federico II, Italy), Pietro Coretto
    In-sample and cross-validated likelihood-type criteria for clustering selection

  • F.J. Clouth (Tilburg University, Tilburg, The Netherlands), S. Pauws, J.K. Vermunt
    On the use of inverse propensity weighting in latent class analysis

  • Cristina Davino, Domenico Vistocco (University of Naples Federico II, Italy)
    Clustering and Modeling Data. A Quantile Regression Approach

  • Francesco Denti, Andrea Cappozzo(University of Milano-Bicocca, Italy), and Francesca Greselin
    Bayesian Nonparametric Functional Novelty Detector

  • Roberto Di Mari, Roberto Rocci and Stefano Antonio Gattone (University G. d’Annunzio, Chieti-Pescara, Italy)
    Lasso-penalized clusterwise linear regression modeling with the soft-LARS algorithm

  • Luca Frigau (University of Cagliari, Italy), Tahir Ekin and Claudio Conversano
    Cluster Validity by Random Forests

  • Massimo Mucciardi (University of Messina, Italy), Giovanni Pirrotta and Andrea Briglia
    EM Clustering method and first language acquisition

  • Mariangela Sciandra (University of Palermo, Italy), Alessandro Albano, Antonella Plaia, Irene Carola Spera
    Impact of the COVID-19 pandemic on music: a method for clustering sentiments

  • Gabriele Soffritti (University of Bologna, Italy)
    Estimating variances and covariances of the ML estimator under linear cluster-weighted models

  • Hung Tong, Cristina Tortora (San José State University, USA)
    Cluster analysis and outlier detection with missing data