BRUSA LUCA

Brusa, L., Pennoni, F., Bartolucci, F., Peruilh Bagolini, R. (2025). Prediction of Early Warning Crises by a Hidden Markov Model with Covariates. In A. Pollice, P. Mariani (a cura di), Methodological and Applied Statistics and Demography II SIS 2024, Short Papers, Solicited Sessions (pp. 146-152). Springer [10.1007/978-3-031-64350-7_26]. Detail

Brusa, L., Bartolucci, F., Maggi, L., Pennoni, F. (2024). A multidimensional hidden Markov model for longitudinal item responses. Intervento presentato a: IBC2024- 32nd International Biometric Conference, Atlanta, Georgia, United States. Detail

Brusa, L., Pennoni, F., Bartolucci, F., Peruilh Bagolini, R. (2024). Addressing latent state separation in hidden Markov models for categorical data with covariates: A penalised maximum likelihood approach. In CHALLENGES IN CATEGORICAL DATA ANALYSIS LSE 2024 BOOK OF ABSTRACTS. Detail

Brusa, L., Pennoni, F., Bartolucci, F., Peruilh Bagolini, F. (2024). In-sample and out-of-sample forecasts for early warning systems using a hidden Markov model with covariates. Intervento presentato a: 1st Workshop for the PRIN Project "Hidden Markov Models for Early Warning Systems" - ID: 2022-NAZ-0371, Perugia, Italy. Detail

Brusa, L., Bartolucci, F., Pennoni, F., Peruilh Bagolini, R. (2024). A penalized maximum likelihood estimation for hidden Markov models to address latent state separation. In PROGRAMME AND ABSTRACTS: 26th International Conference on Computational Statistics (COMPSTAT 2024) (pp.29-29). Detail