Advances in Bayesian Factor Analysis
| Integrative Factor Models for Biomedical Applications | |
| Alejandra Avalos-Pacheco, Roberta De Vito |
Advances in Directional Statistics
| Circular regression with measurement errors | |
| Marco Di Marzio, Chiara Passamonti, Charles C. Taylor |
Associação Portuguesa de Classificação e Análise de Dados
| MULTICLASS CLASSIFICATION OF DISTRIBUTIONAL DATA | |
| Sonia Dias |
Contributed papers
| Functional data analysis approach for identifying redundancy in air quality monitoring stations | |
| Annalina Sarra, Adelia Evangelista, Tonio Di Battista, Sergio Palermi |
| Fuzzy Ensemble Machine Learning algorithm to improve prediction | |
| Nicolò Biasetton, Riccardo Ceccato, Marta Disegna, Alberto Molena |
| VISUALIZING CLASSIFICATION RESULTS: GRAPHICAL TOOLS FOR DD-CLASSIFIERS | |
| Houyem Demni, Simona Balzano |
| A proposal to evaluate the solution of a fuzzy clustering algorithm | |
| Carmela Iorio, Giuseppe Pandolfo, Antonio D'Ambrosio |
| Maximum likelihood approach to parameter selection in the spectral clustering algorithm | |
| Cinzia Di Nuzzo, Salvatore Ingrassia |
| Customer Satisfaction through time: structured time series from sentiment analysis of TripAdvisor data | |
| Rosa Arboretti, Elena Barzizza, Nicolò Biasetton, Marta Disegna |
| Detecting the positions of nonconsesus amino acids in HIV patients by marginal likelihood thresholding | |
| Claudia Di Caterina |
| METHOD FOR THE QUALITY CONTROL AND OPERATORS TRAINING IN MAINTANANCE ACTIVITIES | |
| Angelo Romano, Massimiliano Giacalone, Vincenzo Dottorini, Giuseppe Oddo, Vito Santarcangelo |
| THE USE OF PRINCIPAL COMPONENTS IN QUANTILE REGRESSION: A SIMULATION STUDY | |
| Cristina Davino, Tormod Naes, Rosaria Romano, Domenico Vistocco |
| Hierarchical percentile clustering to analyse greenhouse gas emissions from agriculture in European Union | |
| F. Marta L. Di Lascio, Fabrizio Durante, Aurora Gatto |
| Cluster analysis and conditional copula: a joint approach to analyse energy demand | |
| F. Marta L. Di Lascio, Roberta Pappadà |
| ANALYSIS OF THE NEED FOR WORKING TIMBER STARTING FROM ISTAT INDUSTRIAL PRODUCTION DATA | |
| Flora Fullone, Mirella Morrone, Gianmarco Farina, Enza Compagnone, Gioacchino De Candia |
| MEASUREMENT INVARIANCE: A METHOD BASED ON LATENT MARKOV MODELS | |
| Francesco Dotto, Roberto Di Mari, Alessio Farcomeni, Antonio Punzo |
| AN INTERDISCIPLINARY METHODOLOGY FOR SOCIO-ECONOMIC SEGREGATION ANALYSIS | |
| Antonio De Falco, Antonio Irpino |
| Finite Mixture Models: An overview | |
| José G. Dias |
| Finite Mixture Models: A systematic review | |
| José G. Dias |
| Real-time discriminant analysis in the presence of label and measurement noise | |
| Mia Hubert, Iwein Vranckx, Jakob Raymaekers, Bart De Ketelaere, Peter Rousseeuw |
| Explainable Machine Learning for Lending Default Classification | |
| Paolo Pagnottoni, Thuy Thanh Do, Golnoosh Babaei |
From texts to knowledge: advances and challenges in textual data analysis
| Identification of misogynistic accounts on Twitter through Graph Convolutional Networks | |
| Lara Fontanella, Emiliano del Gobbo |
IBS Session - Statistical methods for the analysis of health problems
| CAUSAL INFERENCE ON THE IMPACT OF EXTREME AMBIENT TEMPERATURES ON POPULATION HEALTH | |
| Michela Baccini, Alessandra Mattei, Giulio Biscardi, Aitana Lertxundi, Elena Degli Innocenti |
Machine Learning for Finite Population Inference
| CLASSIFICATION TREE TO IMPROVE DATA QUALITY IN OFFICIAL STATISTICS | |
| Marco Di Zio, Romina Filippini, Gaia Rocchetti, Simona Toti |
Measurement Uncertainty in Complex Models
| THREE-STEP RECTANGULAR LATENT MARKOV MODELING BASED ON ML CORRECTION | |
| Rosa Fabbricatore, Roberto Di Mari, Zsuzsa Bakk, Mark de Rooij, Francesco Palumbo |
Multi-view Data Analysis
| View it differently: finding groups in microbiome data | |
| Laura Anderlucci, Silvia Dallari, Angela Montanari |
Networks and Higher-Order Networks Data Analysis and Applications
| TESTING GRAPH CLUSTERABILITY: A DENSITY BASED STATISTICAL TEST FOR DIRECTED GRAPHS | |
| Houyem Demni, Pierre Miasnikof, Alexander Y. Shestopaloff, Cristian Bravo, Yuri Lawryshyn |
Robust Procedures
| Efficiency and Robustness in Supervised Learning | |
| Anand N. Vidyashankar, Giacomo Francisci, Fengnan Deng, Xiaoran Jiang |
Statistical Learning Methods in Finance and Business
| DEEP NEURAL NETWORK IN THE MODELING OF THE DEPENDENCE STRUCTURE IN RISK AGGREGATION | |
| Anna Denkowska |