BRUSA, LUCA
BRUSA, LUCA
DIPARTIMENTO DI STATISTICA E METODI QUANTITATIVI
Dealing with separation problem in hidden Markov models with covariates based on a penalized maximum likelihood approach
2025 Brusa, L; Pennoni, F; Bartolucci, F; Peruilh Bagolini, R
Dynamic Classification through Three-Step Estimation: Evidence from a Multinational Longitudinal Study of Myasthenia Gravis Patients
2025 Brusa, L; Pennoni, F; Bartolucci, F; Maggi, L
Prediction of Early Warning Crises by a Hidden Markov Model with Covariates
2025 Brusa, L; Pennoni, F; Bartolucci, F; Peruilh Bagolini, R
Stochastic Block Model Based on Variational Inference and Its Extensions: An Application to Examine Global Migration Dynamics
2025 Brusa, L; Pennoni, F
Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm
2025 Brusa, L; Pennoni, F
A multidimensional hidden Markov model for longitudinal item responses
2024 Brusa, L; Bartolucci, F; Maggi, L; Pennoni, F
A penalized maximum likelihood estimation for hidden Markov models to address latent state separation
2024 Brusa, L; Bartolucci, F; Pennoni, F; Peruilh Bagolini, R
Addressing latent state separation in hidden Markov models for categorical data with covariates: A penalised maximum likelihood approach
2024 Brusa, L; Pennoni, F; Bartolucci, F; Peruilh Bagolini, R
In-sample and out-of-sample forecasts for early warning systems using a hidden Markov model with covariates
2024 Brusa, L; Pennoni, F; Bartolucci, F; Peruilh Bagolini, F
Maximum likelihood for discrete latent variable models via evolutionary algorithms
2024 Brusa, L; Pennoni, F; Bartolucci, F
Model‐based clustering in simple hypergraphs through a stochastic blockmodel
2024 Brusa, L; Matias, C
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models (Computational Statistics, (2023), 38, 3, (1391-1424), 10.1007/s00180-022-01276-7)
2023 Brusa, L; Bartolucci, F; Pennoni, F
Developments in discrete latent variable models: dealing with likelihood multimodality and clustering of simple hypergraphs
2023 Brusa, L
Evolutionary algorithm for the estimation of discrete latent variables models
2023 Brusa, L; Pennoni, F; Bartolucci, F
Improving clustering in temporal networks through an evolutionary algorithm
2023 Brusa, L; Pennoni, F
R code implemented for the paper: Brusa, L..; Pennoni, F.; Bartolucci, F. (2024). Maximum likelihood for discrete latent variable models via evolutionary algorithms. Statistics and Computing, 34, 1-15.
2023 Brusa, L; Pennoni, F; Bartolucci, F
Tempered expectation-maximization algorithm for the estimation of discrete latent variable models
2023 Brusa, L; Bartolucci, F; Pennoni, F
A stochastic block model for hypergraphs
2022 Brusa, L; Matias, C
A stochastic blockmodel for hypergraphs
2022 Brusa, L; Matias, C
Alternative methods for parameter estimation in discrete latent variable models
2022 Brusa, L; Bartolucci, F; Pennoni, F