Video-posters are available to the registered attendees in the dropbox folder MBC2_2020/Videoposters.
Video-posters will be discussed in Poster Discussion Sessions on September 4, 11 and 18, see the Program Schedule for details.

List of 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