PENNONI, FULVIA
PENNONI, FULVIA
DIPARTIMENTO DI STATISTICA E METODI QUANTITATIVI
A latent class model for item responses and response times
2025 Spinelli, D; Pennoni, F; Vittadini, G; Bartolucci, F
A latent Markov model for long-COVID symptoms: application to the Sacco hospital data
2025 Spinelli, D; Bartolucci, F; Pennoni, F; Vittadini, G
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
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
Guest Editorial: Statistical modelling with latent variables
2025 Pennoni, F
LMest: An R Package for Estimating Generalized Latent Markov Models
2025 Pennoni, F; Pandolfi, S; Bartolucci, F
On a class of finite mixture models that includes hidden Markov models
2025 Bartolucci, F; Pandolfi, S; Pennoni, F
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
When non-response makes estimates from a census a small area estimation problem: the case of the survey on graduates’ employment status in Italy
2025 Ranalli, G; Pennoni, F; Bartolucci, F; Mira, A
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
An analysis of the effect of streaming on civic participation through a causal hidden Markov model
2024 Bartolucci, P; Favaro, D; Pennoni, F; Sciulli, D
Book Review: Visser, I. & Speekenbrink, M (2022), Mixture and Hidden Markov Models with R, Springer
2024 Bartolucci, F; Pennoni, F
Comparing Fisher Information in Continuous, Dichotomized, and Discretized Data: A Pedagogical Perspective with Illustrations
2024 Bartolucci, F; Pennoni, F
Dispense dell’insegnamento Modelli Statistici II e Inferenza Bayesiana, Dipartimento di Statistica e Metodi Quantitativi, Università degli Studi di Milano-Bicocca.
2024 Pennoni, F
Gendered work-family pathways over the life course. A comparison through hidden Markov models
2024 Nakai, M; Pennoni, F