Bartolucci, Francesco (2011): An alternative to the Baum-Welch recursions for hidden Markov models.
Bacci, Silvia and Bartolucci, Francesco and Pieroni, Luca (2012): A causal analysis of mother’s education on birth inequalities.
Bartolucci, Francesco and Farcomeni, Alessio and Pennoni, Fulvia (2012): Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates.
Bartolucci, Francesco and Giorgio E., Montanari and Pandolfi, Silvia (2012): Item selection by an extended Latent Class model: An application to nursing homes evaluation.
Bartolucci, Francesco and Lupparelli, Monia (2012): Nested hidden Markov chains for modeling dynamic unobserved heterogeneity in multilevel longitudinal data.
Bartolucci, Francesco (2012): Measuring concentration in economic sectors by h-index and g-index.
Bartolucci, Francesco and Grilli, Leonardo and Pieroni, Luca (2012): Estimating dynamic causal effects with unobserved confounders: a latent class version of the inverse probability weighted estimator.
Pieroni, Luca and d'Agostino, Giorgio and Bartolucci, Francesco (2013): Identifying corruption through latent class models: evidence from transition economies.
Bartolucci, Francesco and Nigro, Valentina and Pigini, Claudia (2013): Testing for state dependence in binary panel data with individual covariates.
Cagnone, Silvia and Bartolucci, Francesco (2013): Adaptive quadrature for likelihood inference on dynamic latent variable models for time-series and panel data.
Minelli, Liliana and Pigini, Claudia and Chiavarini, Manuela and Bartolucci, Francesco (2014): Employment status and perceived health condition: longitudinal data from Italy.
Bacci, Silvia and Bartolucci, Francesco and Chiavarini, Manuela and Minelli, Liliana and Pieroni, Luca (2014): Differences in birth-weight outcomes: A longitudinal study based on siblings.
Bacci, Silvia and Bartolucci, Francesco and Pigini, Claudia and Signorelli, Marcello (2014): A finite mixture latent trajectory model for hirings and separations in the labor market.
Bartolucci, Francesco and Bacci, Silvia and Pigini, Claudia (2015): A misspecification test for finite-mixture logistic models for clustered binary and ordered responses.
Bartolucci, Francesco and Pennoni, Fulvia and Vittadini, Giorgio (2015): Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies.
Bartolucci, Francesco and Pigini, Claudia (2015): cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models.
Bartolucci, Francesco and Marino, Maria Francesca and Pandolfi, Silvia (2015): Composite likelihood inference for hidden Markov models for dynamic networks.
Bartolucci, Francesco and Pigini, Claudia (2017): Granger causality in dynamic binary short panel data models.
Montanari, Giorgio E. and Doretti, Marco and Bartolucci, Francesco (2017): A multilevel latent Markov model for the evaluation of nursing homes' performance.
Tullio, Federico and Bartolucci, Francesco (2019): Evaluating time-varying treatment effects in latent Markov models: An application to the effect of remittances on poverty dynamics.
Bartolucci, Francesco and Pigini, Claudia (2019): Partial effects estimation for fixed-effects logit panel data models.
Genge, Ewa and Bartolucci, Francesco (2019): Are attitudes towards immigration changing in Europe? An analysis based on bidimensional latent class IRT models.
Pennoni, Fulvia and Bartolucci, Francesco and Forte, Gianfranco and Ametrano, Ferdinando (2020): Exploring the dependencies among main cryptocurrency log-returns: A hidden Markov model.
Bartolucci, Francesco and Pigini, Claudia and Valentini, Francesco (2021): MCMC Conditional Maximum Likelihood for the two-way fixed-effects logit.
Bartolucci, Francesco and Pigini, Claudia and Valentini, Francesco (2021): Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models.
Bartolucci, Francesco and Pigini, Claudia and Valentini, Francesco (2022): Testing for state dependence in the fixed-effects ordered logit model.
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