Francesco Bartolucci

According to our database, Francesco Bartolucci authored at least 29 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms.

Luca Brusa, Fulvia Pennoni, Francesco Bartolucci

Stat. Comput., February, 2024

2023

Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models.

Luca Brusa, Francesco Bartolucci, Fulvia Pennoni

Comput. Stat., September, 2023

Tempered expectation-maximization algorithm for the estimation of discrete latent variable models.

Luca Brusa, Francesco Bartolucci, Fulvia Pennoni

Comput. Stat., September, 2023

2022

Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models.

Ewa Genge, Francesco Bartolucci

Adv. Data Anal. Classif., 2022

2021

A bivariate finite mixture growth model with selection.

David Aristei, Silvia Bacci, Francesco Bartolucci, Silvia Pandolfi

Adv. Data Anal. Classif., 2021

2020

An exact algorithm for time-dependent variational inference for the dynamic stochastic block model.

Francesco Bartolucci, Silvia Pandolfi

Pattern Recognit. Lett., 2020

2019

Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence.

Francesco Bartolucci, Fulvia Pennoni

Stat. Methods Appl., 2019

2018

Dealing with reciprocity in dynamic stochastic block models.

Francesco Bartolucci, Maria Francesca Marino, Silvia Pandolfi

Comput. Stat. Data Anal., 2018

Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation.

Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi

J. Classif., 2018

2016

Two-Tier Latent Class IRT Models in R.

Silvia Bacci, Francesco Bartolucci

R J., 2016

A multilevel finite mixture item response model to cluster examinees and schools.

Michela Gnaldi, Silvia Bacci, Francesco Bartolucci

Adv. Data Anal. Classif., 2016

Item selection by latent class-based methods: an application to nursing home evaluation.

Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi

Adv. Data Anal. Classif., 2016

2015

Information matrix for hidden Markov models with covariates.

Francesco Bartolucci, Alessio Farcomeni

Stat. Comput., 2015

A comparison between the g-index and the h-index based on concentration.

Francesco Bartolucci

J. Assoc. Inf. Sci. Technol., 2015

Assessing User Satisfaction in the Era of User Experience: Comparison of the SUS, UMUX, and UMUX-LITE as a Function of Product Experience.

Simone Borsci, Stefano Federici, Silvia Bacci, Michela Gnaldi, Francesco Bartolucci

Int. J. Hum. Comput. Interact., 2015

Three-step estimation of latent Markov models with covariates.

Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi

Comput. Stat. Data Anal., 2015

2014

Comment on the paper "On the memory complexity of the forward-backward algorithm, " by Khreich W., Granger E., Miri A., Sabourin, R.

Francesco Bartolucci, Silvia Pandolfi

Pattern Recognit. Lett., 2014

A New Constant Memory Recursion for Hidden Markov Models.

Francesco Bartolucci, Silvia Pandolfi

J. Comput. Biol., 2014

A generalized multiple-try version of the Reversible Jump algorithm.

Silvia Pandolfi, Francesco Bartolucci, Nial Friel

Comput. Stat. Data Anal., 2014

MultiLCIRT: An R package for multidimensional latent class item response models.

Francesco Bartolucci, Silvia Bacci, Michela Gnaldi

Comput. Stat. Data Anal., 2014

Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data.

Silvia Bacci, Francesco Bartolucci

Comput. Stat. Data Anal., 2014

2012

On a possible decomposition of the h-index.

Francesco Bartolucci

J. Assoc. Inf. Sci. Technol., 2012

Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data.

Francesco Bartolucci, Luisa Scaccia, Alessio Farcomeni

Comput. Stat. Data Anal., 2012

2010

A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection.

Silvia Pandolfi, Francesco Bartolucci, Nial Friel

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2007

Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data.

Francesco Bartolucci, Valentina Nigro

Comput. Stat. Data Anal., 2007

2005

The use of mixtures for dealing with non-normal regression errors.

Francesco Bartolucci, Luisa Scaccia

Comput. Stat. Data Anal., 2005

Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures.

Francesco Bartolucci

J. Classif., 2005

2004

Testing for positive association in contingency tables with fixed margins.

Francesco Bartolucci, Luisa Scaccia

Comput. Stat. Data Anal., 2004

2003

Likelihood-based inference for asymmetric stochastic volatility models.

Francesco Bartolucci, Giovanni De Luca

Comput. Stat. Data Anal., 2003