64 citations · 184 across the 34 of their papers we have counts for
35 papers
Dealing with separation problem in hidden Markov models with covariates based on a penalized maximum likelihood approach
Luca Brusa, Fulvia Pennoni, Francesco Bartolucci +1
A penalized maximum likelihood estimation approach is proposed for discrete-time hidden Markov models where covariates affect the observed responses and serial dependence is consid…
Maximum likelihood estimation of hidden Markov models for continuous longitudinal data with missing responses and dropout
Silvia Pandolfi, Francesco Bartolucci, Fulvia Pennoni
We propose an inferential approach for maximum likelihood estimation of the hidden Markov models for continuous responses. We extend to the case of longitudinal observations the fi…
Estimating the size of a closed population by modeling latent and observed heterogeneity
Antonio Forcina, Francesco Bartolucci
The paper describes a new class of capture-recapture models for closed populations when individual covariates are available. The novelty consists in combining a latent class model…
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks
Francesco Bartolucci, Antonietta Mira, Stefano Peluso
A new modeling framework for bipartite social networks arising from a sequence of partially time-ordered relational events is proposed. We directly model the joint distribution of…
Evaluation of student proficiency through a multidimensional finite mixture IRT model
Silvia Bacci, Francesco Bartolucci, Leonardo Grilli +1
In certain academic systems, a student can enroll for an exam immediately after the end of the teaching period or can postpone it to any later examination session, so that the grad…
Composite likelihood inference in a discrete latent variable model for two-way "clustering-by-segmentation" problems
Francesco Bartolucci, Francesca Chiaromonte, Prabhani Kuruppumullage Don +1
We consider a discrete latent variable model for two-way data arrays, which allows one to simultaneously produce clusters along one of the data dimensions (e.g. exchangeable observ…