Alessandro Casa
  • About
  • Publications
  • Talks
  • Teaching & Software
  • Contact

Talks

  • Penalized model-based clustering for covariance matrices (June, 2025)
    Intermediate conference of the Italian Statistical Society, Genova [invited]

  • Truncated pairwise likelihood for sparse high-dimensional covariance estimation (May, 2025)
    Research Seminar Series, Institute of Statistics and Mathematics, Wirtschaftsuniversität Wien [seminar]

  • Sparse high-dimensional covariance estimation via pairwise composite likelihood (May, 2025)
    Seminar Series, Department of Statistical Sciences, UniversitĂ  Cattolica del Sancro Cuore, Milano [seminar]

  • High-dimensional covariance estimation via sparse pairwise composite likelihood (March, 2025)
    DSS Statistics Seminar, Sapienza UniversitĂ  di Roma [seminar]

  • Adaptive functional regression for locally heterogeneous spectroscopic data (December, 2024)
    18th International Joint Congerence CFE-CMStatistics, London [invited]

  • Sparse model-based clustering of three-way data via lasso-type penalties (July, 2024)
    Working Group of Model-Based Clustering, University of Bologna - Bertinoro (FC) [invited]

  • Sparse partial membership models with applications in food science (June, 2024)
    52nd Scientific meeting of the Italian Statistical Society, Bari [invited]

  • Partial membership models for high-dimensional spectroscopy data (September, 2023)
    CLADAG - Classification and Data Analysis Group, Salerno [invited]

  • Regularization strategies for partial membership models (July, 2023)
    Working Group of Model-Based Clustering, Carnegie Mellon University - Pittsburgh [invited]

  • Parsimonious modelling of spectroscopy data via a Bayesian latent variables approach (May, 2023)
    Mathematics for Data Science, AI and ML Seminar series, University of Trento [seminar]

  • Sparse covariance estimation via sparse composite likelihood (February, 2023)
    UCD Working Group on Statistical Learning, Dublin [seminar]

  • Unveiling patterns in spectroscopy data via a Bayesian latent variables approach (December, 2022)
    International Conference of the ERCIM WG - CMStatistics 2022, London [invited]

  • Parsimonious Bayesian factor analysis with application to spectroscopy data (December, 2022)
    Workshop on statistical learning and econometrics, Bolzano [invited]

  • Penalized matrix-variate model-based clustering (September, 2022)
    European Conference on Data Analysis 2022 - ECDA 2022, Naples [invited]

  • Model ensemble in density-based clustering (August, 2022)
    24th International conference on Computational Statistics - COMPSTAT 2022, Bologna [invited]

  • Group-wise penalized estimation schemes in model-based clustering (June 2022)
    51st Scientific Meeting of the Italian Statistical Society, Caserta [invited]

  • Co-clustering of time-dependent data via the Shape Invariant Model (February 2022)
    Trinity College Dublin Statistics Seminar Series, online [seminar]

  • Model-based co-clustering of multivariate time-dependent data (December 2021)
    14th International Conference of the ERCIM WG - CMStatistics 2021, online [invited]

  • Sparse matrix-variate model-based clustering via penalized estimation (October 2021)
    Working Group on Model-Based Clustering, Athens [short presentation]

  • Model-based clustering with sparse matrix mixture models (September 2021)
    CLADAG - Classification and Data Analysis Group, online [contributed]

  • Parsimonious modelling of spectroscopy data via a Bayesian latent variables approach (June 2021)
    50th Scientific Meeting of the Italian Statistical Society, online [contributed]

  • Parsimonious Bayesian Factor Analysis with application to milk spectroscopy data (May 2021)
    41st Conference on Applied Statistics in Ireland, online [contributed]

  • Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data (February 2021)
    UCD Working Group on Statistical Learning, online [seminar]

  • Better than the best? Blending models and approaches in density-based clustering (February 2020)
    UCD Working Group on Statistical Learning, Dublin [seminar]

  • Asymptotics for bandwidth selection in nonparametric clustering (September 2019)
    CLADAG - Classification and Data Analysis Group, Cassino [invited]

  • Nonparametric semisupervised classification and variable selection for new physics searches (July 2019)
    European Meeting of Statisticians, Palermo [invited]

  • Co-clustering of time-dependent data (July 2019)
    Working Group on Model-Based Clustering, Wien [poster]

  • Averaging via stacking in model-based clustering (September 2018)
    Workshop Advanced Statistics for Physics Discovery, Padova [short presentation]

  • Averaging via stacking in model-based clustering (September 2018)
    MBC2 2018 Workshop on Model-Based Clustering and Classification, Catania [poster]

  • On the selection uncertainty in parametric clustering (July 2018)
    ECDA 2018 European Conference on Data Analysis, Paderborn [contributed]

  • On the choice of an appropriate bandwidth for modal clustering (June 2018)
    SIS 2018 49th Scientific meeting of the Italian Statistical Society, Palermo [contributed]

  • Clustering-oriented selection of the amount of smoothing in kernel density estimation (June 2018)
    4th Conference of the International Society for Nonparametric Statistics, Salerno [contributed]

  • Signal detection in high energy physics via a semisupervised nonparametric approach (June 2017).
    SIS 2017 Intermediate conference of the Italian Statistical Society, Florence [contributed]