| Scheduled Conference | Title | |
| CLADAG2023 | A Bayesian Spatio-Temporal Regression Approach for Confounding Adjustment | Abstract |
| Carlo Zaccardi, Pasquale Valentini, Luigi Ippoliti | ||
| CLADAG2023 | A CASE STUDY OF ELECTRONIC MEDICAL RECORDS USE FOR PREDICTING KIDNEY INJURY | Abstract |
| Davide Passaro, Luca Tardella, Giovanna Jona Lasinio, Tiziana Fragasso, Valeria Raggi, Zaccaria Ricci | ||
| CLADAG2023 | A Clustering method for distributional data based on a LDQ transformation | Abstract |
| Rosanna Verde, Gianmarco Burrata, Antonio Balzanella | ||
| CLADAG2023 | A CLUSTERING MODEL FOR THREE-WAY ASYMMETRIC PROXIMITY DATA | Abstract |
| Laura Bocci, Donatella Vicari | ||
| CLADAG2023 | A COHORT STUDY ON THE GENDER GAP IN MORTALITY THROUGH THE TUCKER3 MODEL | Abstract |
| Andrea Nigri | ||
| CLADAG2023 | A COMPARATIVE STUDY OF FINANCIAL FINANCIAL LITERACY USING DATA FROM PISA SURVEY. | Abstract |
| Sabrina Giordano, Roberta Varriale, Mariangela Zenga | ||
| CLADAG2023 | A COMPARISON BETWEEN THE VARYING-THRESHOLDS MODEL AND QUANTILE REGRESSION | Abstract |
| Marta Pittavino | ||
| CLADAG2023 | A competing risk analysis of academic careers with students' ability and speed as predictors | Abstract |
| Michela Battauz | ||
| CLADAG2023 | A COMPOSITIONAL STOCHASTIC BLOCK MODEL FOR THE ANALYSIS OF THE ERASMUS PROGRAMME NETWORK | Abstract |
| Iuliia Promskaia, Adrian O'Hagan, Michael Fop | ||
| CLADAG2023 | A flexible topic model | Abstract |
| Roberto Ascari, Alice Giampino | ||
| CLADAG2023 | A Fused Enet for Estimation of Sparse Graphical Model | Abstract |
| Azam Kheyri | ||
| CLADAG2023 | A GROUP LASSO APPROACH FOR SELECTING THE NUMBER OF STATES IN A HIDDEN MARKOV MODEL | Abstract |
| Marius Oetting | ||
| CLADAG2023 | A Method to Validate Clustering Partitions | Abstract |
| Luca Frigau, Giulia Contu, Marco Ortu, Andrea Carta | ||
| CLADAG2023 | A MULTIVARIATE PERMUTATION TEST FOR ASSOCIATION | Abstract |
| Elena Barzizza, Riccardo Ceccato, Solomon Harrar, Fortunato Pesarin, Luigi Salmaso | ||
| CLADAG2023 | A new accurate heuristic algorithm to solve the rank aggregation problem with a large number of objects | Abstract |
| Maurizio Romano, Roberta Siciliano | ||
| CLADAG2023 | A NEW ALTERNATIVE METHOD FOR SIMULTANEOUS FEATURE SELECTION AND DETERMINATION OF INFLUENTIAL DATA POINTS IN COX MODEL WITH HIGH DIMENSIONAL DATASET | Abstract |
| Nuriye Sancar, Deniz Inan | ||
| CLADAG2023 | A NOVEL MULTI-VIEW ENSEMBLE CLUSTERING FRAMEWORK FOR CANCER SUBTYPE DISCOVERY | Abstract |
| Michael G. Schimek | ||
| CLADAG2023 | A proposal for the joint automated detection of clusters and anomalies | Abstract |
| Luis Angel García-Escudero, Christian Hennig, Agustín Mayo-Iscar, Gianluca Morelli, Marco Riani | ||
| CLADAG2023 | A PROPOSAL OF DEEP FUZZY CLUSTERING BY MEANS OF THE SIMULTANEOUS APPROACH | Abstract |
| Claudia Rampichini, Maria Brigida Ferraro | ||
| CLADAG2023 | A proposal to evaluate the solution of a fuzzy clustering algorithm | Abstract |
| Carmela Iorio, Giuseppe Pandolfo, Antonio D'Ambrosio | ||
| CLADAG2023 | A Stata implementation of cluster weighted models: the cwmglm package | Abstract |
| Daniele Spinelli, Giorgio Vittadini, Salvatore Ingrassia | ||
| CLADAG2023 | A statistical test to assess the non-normality of the latent variable distribution | Abstract |
| Lucia Guastadisegni, Irini Moustaki, Silvia Cagnone, Vassilis Vasdekis | ||
| CLADAG2023 | A supervised classification strategy based on the novel directional distribution depth function | Abstract |
| Edoardo Redivo, Cinzia Viroli | ||
| CLADAG2023 | A SUPPORT VECTOR MACHINE APPROACH TO CREATE OBLIQUE DECISION TREES FOR REGRESSION | Abstract |
| andrea carta | ||
| CLADAG2023 | A TESTING APPROACH TO DETECT COVID-19 WAVES | Abstract |
| Arianna Agosto, Paola Cerchiello | ||
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