Sfoglia per Autore
Dealing with latent state separation in hidden Markov models via penalized maximum likelihood estimation
2026 Brusa, L; Pennoni, F; Peruilh Bagolini, R; Bartolucci, F
A regularized maximum likelihood estimation for hidden Markov models with covariates
2026 Brusa, L; Pennoni, F; Bartolucci, F; Peruilh Bagolini, R
Predicting Links in temporal Networks using a dynamic Stochastic Block Model
2025 Brusa, L; Pandolfi, S; Pennoni, F; Bartolucci, F
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
Clinical meaning of PROMs in a large cohort of myasthenia gravis patients
2025 Cheli, M; Brusa, L; Bartolucci, F; Mantegazza, R; Gemma, M; Pennoni, F; Maggi, L
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
Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm
2025 Brusa, L; Pennoni, F
Prediction of Early Warning Crises by a Hidden Markov Model with Covariates
2025 Brusa, L; Pennoni, F; Bartolucci, F; Peruilh Bagolini, R
A covariate-enhanced hidden Markov model for risk prediction in heart failure
2025 Brusa, L; Pennoni, F; Bartolucci, F
Enhancing early prediction of heart failure: Hidden Markov model with covariates
2025 Brusa, L; Pennoni, F; Bartolucci, F; Pierantozzi, L
Stochastic Block Model Based on Variational Inference and Its Extensions: An Application to Examine Global Migration Dynamics
2025 Brusa, L; Pennoni, F
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
Maximum likelihood for discrete latent variable models via evolutionary algorithms
2024 Brusa, L; Pennoni, F; Bartolucci, F
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
A penalized maximum likelihood estimation for hidden Markov models to address latent state separation
2024 Brusa, L; Bartolucci, F; Pennoni, F; Peruilh Bagolini, R
A multidimensional hidden Markov model for longitudinal item responses
2024 Brusa, L; Bartolucci, F; Maggi, L; Pennoni, F
Model‐based clustering in simple hypergraphs through a stochastic blockmodel
2024 Brusa, L; Matias, C
Developments in discrete latent variable models: dealing with likelihood multimodality and clustering of simple hypergraphs
2023 Brusa, L
Improving clustering in temporal networks through an evolutionary algorithm
2023 Brusa, L; Pennoni, F
Evolutionary algorithm for the estimation of discrete latent variables models
2023 Brusa, L; Pennoni, F; Bartolucci, F
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