Conference presentations

1. Brusa, L., Pennoni, F., Bartolucci, F., and Peruilh Bagolini, R. (2024), Prediction of early warning crises by a hidden Markov model with covariates, The 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024) , Bari (IT), June 2024. (slides)

2. Pandolfi, S., Bartolucci,  F., and Li Donni, P. (2024), A constrained dynamic bivariate Poisson stochastic block model for hospital network data, The 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), Bari (IT), June 2024. (slides)

3. Muris, C. and Pigini, C., (2024), Panel models with time-varying grouped fixed-effects, Women in Econometrics Conference, Bologna (IT), June 2024. (slide)

4. Tancini, D., Bartolucci, F., and Pandolfi, S. (2024), Bayesian hidden Markov models for early warning, 38th International Workshop on Statistical Modelling (IWSM 2024), Durham (UK), July, 2024. (slides)

5. Muris, C. and Pigini, C., (2024), Panel models with time-varying grouped fixed-effects, 29th International Panel Data Conference, Orléans (FR), July 2024. (slides)

6. Brusa, L., Bartolucci, F., Pennoni, F., and Peruilh Bagolini, R. (2024), A penalized maximum likelihood estimation for hidden Markov models to address latent state separation, The 26th International Conference on Computational Statistics (COMPSTAT 2024), Giessen (DE), August 2024. (slides)

7. Bartolucci, F., Pandolfi, S., and Tancini, D. (2024), A Bayesian multi-model prediction framework with binary longitudinal data, Challenges for Categorical Data Analysis (CCDA 2024), London (UK), October-November, 2024. (slides)

8. Brusa, L., Pennoni, F., Bartolucci, F., and Peruilh Bagolini, R. (2024), Addressing latent state separation in hidden Markov models for categorical data with covariates: A penalised maximum likelihood approach, Challenges for Categorical Data Analysis (CCDA 2024), London (UK), October-November, 2024. (slides)

9. Brusa, L., Bartolucci, F., Maggi, L., and Pennoni, F. (2024), A multidimensional hidden Markov model for longitudinal item responses, International Biometrics Conference (IBC 2024), Atlanta (USA), December, 2024. (slides)

10. Peruilh Bagolini, R., Tancini, D., Bartolucci, F., and Pandolfi, S. (2025), A Data Augmented Bayesian Approach for Rectangular Hidden Markov Models, SIS 2025, Statistics for Innovation, Genova, June 2025.

11. Brusa, L., Pennoni, F., Bartolucci, F., and Peruilh Bagolini, R. (2025), A regularized maximum likelihood estimation for hidden Markov models with covariates, 3rd Conference of the Statistics and Data Science Group of the Italian Statistical Society (SDS 2025), Milan (IT), April, 2025. (slides)

12. Brusa, L., Pennoni, F., Bartolucci, F., and Maggi, L. (2025), Dynamic Classification through Three-Step Estimation: Evidence from a Multina tional Longitudinal Study of Myasthenia Gravis Patients, SIS 2025- Statistics for Innovation, Genoa (IT), June, 2025. (slides)

13. Brusa, L., Pennoni, F., and Bartolucci, F. (2025), Enhancing early prediction of heart failure: Hidden Markov model with covariates, Joint Conference of the Italian and Eastern Mediterranean Regions of the International Biometric Society (IBS-IR-ERM 2025), Salerno (IT), September, 2025. (slides)

14. Brusa, L., Pandolfi, S., Pennoni, F., and Bartolucci, F. (2025), Predicting Links in temporal Networks using a dynamic Stochastic Block Model, ARS 2025- Tenth International Workshop on Social Network Analysis, Naples (IT), October, 2025. (slides)