| Scheduled Conference | Title | |
| CLADAG2023 | How to build your latent Markov model: the role of time and space | Abstract |
| Roland Langrock, Sina Mews | ||
| CLADAG2023 | HOW WOMEN REACT TO THEIR PARTNERS’ WORK INSTABILITY. THE ADDED-WORKER EFFECT | Abstract |
| Anna Giraldo, Donata Favaro | ||
| CLADAG2023 | Identification of misogynistic accounts on Twitter through Graph Convolutional Networks | Abstract |
| Lara Fontanella, Emiliano del Gobbo | ||
| CLADAG2023 | IMPROVING NODE CLASSIFICATION IN TEMPORAL NETWORKS THROUGH EVOLUTIONARY ALGORITHM | Abstract |
| Luca Brusa | ||
| CLADAG2023 | Inequalities at entrance, labour market conditions and university dropout: first evidence from Italy | Abstract |
| Cristian Usala, Isabella Sulis, Mariano Porcu | ||
| CLADAG2023 | INEQUALITY, POPULISM, AND UNFAIRNESS: A COMPARISON OF UNFAIR INCOME INEQUALITIES IN POLAND AND NORWAY | Abstract |
| Tomasz Kwarcinski, Pawel Ulman | ||
| CLADAG2023 | Inference on the state distribution in periodic hidden Markov models | Abstract |
| Carlina Caye Feldmann | ||
| CLADAG2023 | Integrative Factor Models for Biomedical Applications | Abstract |
| Alejandra Avalos-Pacheco, Roberta De Vito | ||
| CLADAG2023 | Interpretable and Accurate Scaling in Large-Scale Assessment: A Variable Selection Approach to Latent Regression | Abstract |
| Yunxiao Chen | ||
| CLADAG2023 | ISSUES WITH SPARSE SPATIAL RANDOM GRAPHS | Abstract |
| Francesca Panero | ||
| CLADAG2023 | K-MEANS CLUSTERING – NEW VARIATIONS | Abstract |
| Andrzej Sokolowski, Malgorzata Markowska, Maciej Laburda | ||
| CLADAG2023 | LATENT BAYESIAN CLUSTERING FOR TOPIC MODELLING | Abstract |
| Lorenzo Schiavon | ||
| CLADAG2023 | Lattice of Gaussian graphical models for paired data with common undirected structure | Abstract |
| Dung Ngoc Nguyen, Alberto Roverato | ||
| CLADAG2023 | Linear random forest to predict energy consumption | Abstract |
| Gianpaolo Zammarchi | ||
| CLADAG2023 | Liu-type fuzzy regression functions for time series forecasting | Abstract |
| Ufuk Yolcu, Ozge Cagcag Yolcu | ||
| CLADAG2023 | LONGITUDINAL HIDDEN MARKOV MODELS: PROBLEMS AND METHODS | Abstract |
| Mackenzie Neal | ||
| CLADAG2023 | Markov switching autoregressive models for the analysis of hydrological time series | Abstract |
| Roberta Paroli, Luigi Spezia | ||
| CLADAG2023 | Markov switching regression models for longitudinal ordered responses to handle attitude towards response style, unobserved heterogeneity and serial dependence | Abstract |
| Sabrina Giordano | ||
| CLADAG2023 | Matrix-variate hidden Markov regressions | Abstract |
| Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti | ||
| CLADAG2023 | Maximum likelihood approach to parameter selection in the spectral clustering algorithm | Abstract |
| Cinzia Di Nuzzo, Salvatore Ingrassia | ||
| CLADAG2023 | MEASUREMENT INVARIANCE TESTING OF LATENT CLASS MODELS USING RESIDUAL STATISTICS AND LIKELIHOOD RATIO TEST | Abstract |
| Zsuzsa Bakk | ||
| CLADAG2023 | MEASUREMENT INVARIANCE: A METHOD BASED ON LATENT MARKOV MODELS | Abstract |
| Francesco Dotto, Roberto Di Mari, Alessio Farcomeni, Antonio Punzo | ||
| CLADAG2023 | METHOD FOR THE QUALITY CONTROL AND OPERATORS TRAINING IN MAINTANANCE ACTIVITIES | Abstract |
| Angelo Romano, Massimiliano Giacalone, Vincenzo Dottorini, Giuseppe Oddo, Vito Santarcangelo | ||
| CLADAG2023 | Mid-quantile regression for discrete panel data | Abstract |
| Alessio Farcomeni, Alfonso Russo, Marco Geraci | ||
| CLADAG2023 | MOBILITY ACROSS CRIMES: STATISTICALLY VALIDATED NETWORKS AND TEMPORAL PATTERN RECOGNITION | Abstract |
| Vincenzo Giuseppe Genova, Christopher Edling, Hernan Mondani, Amir Mohammadi Rostami, Michele Tumminello | ||
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