| Scheduled Conference | Title | |
| CLADAG2023 | Modal clustering for categorical data | Abstract |
| Noemi Corsini, Giovanna Menardi | ||
| CLADAG2023 | Model based clustering procedures for multivariate mixed type longitudinal data | Abstract |
| Arnošt Komárek | ||
| CLADAG2023 | Model-based clustering for torus data | Abstract |
| Luca Greco, Antonio Lucadamo, Claudio Agostinelli | ||
| CLADAG2023 | Model-based clustering of right-censored lifetime data with frailties and random covariates | Abstract |
| Andrea Cappozzo | ||
| CLADAG2023 | Model-based clustering via parsimonious mixtures of dimension-wise scaled normal mixtures | Abstract |
| Antonio Punzo | ||
| CLADAG2023 | Model-based simultaneous classification and reduction for three-way ordinal data | Abstract |
| Monia Ranalli, Roberto Rocci | ||
| CLADAG2023 | Modeling zone diameter measurements to infer antibiotic suceptibility of bacteria | Abstract |
| Bettina Grün | ||
| CLADAG2023 | Modelling soccer players field position via mixture of Gaussians with flexible weights | Abstract |
| Marco Berrettini | ||
| CLADAG2023 | Modelling the relationship between bond yields and stock returns using state-switching varying-coefficient stochastic differential equations | Abstract |
| Timo Adam | ||
| CLADAG2023 | MULTICLASS CLASSIFICATION OF DISTRIBUTIONAL DATA | Abstract |
| Sonia Dias | ||
| CLADAG2023 | Multilevel Cross-Classified Latent Class Models | Abstract |
| Silvia Columbu, Nicola Piras, Jeroen Vermunt | ||
| CLADAG2023 | Multi-level stochastic blockmodels for multiplex networks | Abstract |
| Maria Francesca Marino, Matteo Sani, Monia Lupparelli | ||
| CLADAG2023 | Multiple imputation for clustering on incomplete data | Abstract |
| Vincent Audigier, Ndèye Niang | ||
| CLADAG2023 | MULTIVARIATE REGRESSION TREE TO INVESTIGATE THE ITALIAN MORTALITY RATES | Abstract |
| Giulia Contu, Marco Ortu, Luca Frigau, Sara Pau | ||
| CLADAG2023 | Multivariate Regression Tree Topic Modeling | Abstract |
| marco ortu, Giulia Contu, Luca Frigau | ||
| CLADAG2023 | New tour methods for visualizing high-dimensional data | Abstract |
| Ursula Laa, Dianne Cook | ||
| CLADAG2023 | Nonparametric local inference for functional data defined on manifold domains | Abstract |
| Niels Lundtorp Olsen, Alessia Pini, Simone Vantini | ||
| CLADAG2023 | Normalized Latent Measure Factor Models | Abstract |
| Mario Beraha, Jim Griffin | ||
| CLADAG2023 | On functional logistic regression: A robust functional principal component approach | Abstract |
| Ufuk Beyaztas | ||
| CLADAG2023 | ON MODEL-BASED CLUSTERING FOR EQUITABLE AND SUSTAINABLE WELL-BEING AT LOCAL LEVEL: HOW MANY ITALIES? | Abstract |
| Natalia Golini | ||
| CLADAG2023 | On some properties of reconstructed trajectories from sparse longitudinal data | Abstract |
| Yoshikazu Terada | ||
| CLADAG2023 | ONE-DIMENSIONAL MIXTURE-BASED CLUSTERING FOR ORDINAL RESPONSES | Abstract |
| Marta Nai Ruscone, Daniel Fernandez | ||
| CLADAG2023 | One-inflated Bayesian mixtures for population size estimation | Abstract |
| Andrea Tancredi | ||
| CLADAG2023 | Outlier explanation based on Shapley values for vector- and matrix-valued observations | Abstract |
| Peter Filzmoser, Marcus Mayrhofer | ||
| CLADAG2023 | Partial membership models for high-dimensional spectroscopy data | Abstract |
| Alessandro Casa, Thomas Brendan Murphy, Michael Fop | ||
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