Francesco Bartolucci

38 papers A 1Journal 36Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
An algorithm aiming at unimodal density-based clustering using Gaussian mixture models.
Stat. Comput.
Daniele Tancini, Luca Scrucca, Francesco Bartolucci
2025 J jnl
LCCR: An R Package for Inference on Latent Class Models for Capture-Recapture Data with Covariates.
R J.
Francesco Bartolucci, Antonio Forcina
2025 J jnl
LMest: An R Package for Estimating Generalized Latent Markov Models.
R J.
Fulvia Pennoni, Silvia Pandolfi, Francesco Bartolucci
2025 J jnl
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks.
Adv. Data Anal. Classif.
Francesco Bartolucci, Antonietta Mira, Stefano Peluso
2025 J jnl
On a class of finite mixture models that includes hidden Markov models.
J. Multivar. Anal.
Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni
2025 J jnl
When non-response makes estimates from a census a small area estimation problem: the case of the survey on graduates' employment status in Italy.
Adv. Data Anal. Classif.
Maria Giovanna Ranalli, Fulvia Pennoni, Francesco Bartolucci, Antonietta Mira
2024 J jnl
Erratum to: Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data.
J. Classif.
Fulvia Pennoni, Francesco Bartolucci, Silvia Pandolfi
2024 J jnl
Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms.
Stat. Comput.
Luca Brusa, Fulvia Pennoni, Francesco Bartolucci
2024 J jnl
Variable Selection for Hidden Markov Models with Continuous Variables and Missing Data.
J. Classif.
Fulvia Pennoni, Francesco Bartolucci, Silvia Pandolfi
2023 J jnl
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models.
Comput. Stat.
Luca Brusa, Francesco Bartolucci, Fulvia Pennoni
2023 J jnl
Tempered expectation-maximization algorithm for the estimation of discrete latent variable models.
Comput. Stat.
Luca Brusa, Francesco Bartolucci, Fulvia Pennoni
2022 J jnl
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models.
Adv. Data Anal. Classif.
Ewa Genge, Francesco Bartolucci
2021 J jnl
A bivariate finite mixture growth model with selection.
Adv. Data Anal. Classif.
David Aristei, Silvia Bacci, Francesco Bartolucci, Silvia Pandolfi
2020 J jnl
An exact algorithm for time-dependent variational inference for the dynamic stochastic block model.
Pattern Recognit. Lett.
Francesco Bartolucci, Silvia Pandolfi
2019 J jnl
Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence.
Stat. Methods Appl.
Francesco Bartolucci, Fulvia Pennoni
2018 J jnl
Dealing with reciprocity in dynamic stochastic block models.
Comput. Stat. Data Anal.
Francesco Bartolucci, Maria Francesca Marino, Silvia Pandolfi
2018 J jnl
Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation.
J. Classif.
Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi
2016 J jnl
A multilevel finite mixture item response model to cluster examinees and schools.
Adv. Data Anal. Classif.
Michela Gnaldi, Silvia Bacci, Francesco Bartolucci
2016 J jnl
Item selection by latent class-based methods: an application to nursing home evaluation.
Adv. Data Anal. Classif.
Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi
2016 J jnl
Two-Tier Latent Class IRT Models in R.
R J.
Silvia Bacci, Francesco Bartolucci
2015 J jnl
A comparison between the g-index and the h-index based on concentration.
J. Assoc. Inf. Sci. Technol.
Francesco Bartolucci
2015 J jnl
Assessing User Satisfaction in the Era of User Experience: Comparison of the SUS, UMUX, and UMUX-LITE as a Function of Product Experience.
Int. J. Hum. Comput. Interact.
Simone Borsci, Stefano Federici, Silvia Bacci, Michela Gnaldi, Francesco Bartolucci
2015 J jnl
Information matrix for hidden Markov models with covariates.
Stat. Comput.
Francesco Bartolucci, Alessio Farcomeni
2015 J jnl
Three-step estimation of latent Markov models with covariates.
Comput. Stat. Data Anal.
Francesco Bartolucci, Giorgio Eduardo Montanari, Silvia Pandolfi
2014 J jnl
A New Constant Memory Recursion for Hidden Markov Models.
J. Comput. Biol.
Francesco Bartolucci, Silvia Pandolfi
2014 J jnl
A generalized multiple-try version of the Reversible Jump algorithm.
Comput. Stat. Data Anal.
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
2014 J jnl
Comment on the paper "On the memory complexity of the forward-backward algorithm, " by Khreich W., Granger E., Miri A., Sabourin, R.
Pattern Recognit. Lett.
Francesco Bartolucci, Silvia Pandolfi
2014 J jnl
Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data.
Comput. Stat. Data Anal.
Silvia Bacci, Francesco Bartolucci
2014 J jnl
MultiLCIRT: An R package for multidimensional latent class item response models.
Comput. Stat. Data Anal.
Francesco Bartolucci, Silvia Bacci, Michela Gnaldi
2012 J jnl
Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data.
Comput. Stat. Data Anal.
Francesco Bartolucci, Luisa Scaccia, Alessio Farcomeni
2012 J jnl
On a possible decomposition of the h-index.
J. Assoc. Inf. Sci. Technol.
Francesco Bartolucci
2010 A conf
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection.
AISTATS
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
2007 J jnl
Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data.
Comput. Stat. Data Anal.
Francesco Bartolucci, Valentina Nigro
2005 J jnl
Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures.
J. Classif.
Francesco Bartolucci
2005 J jnl
The use of mixtures for dealing with non-normal regression errors.
Comput. Stat. Data Anal.
Francesco Bartolucci, Luisa Scaccia
2004 J jnl
Testing for positive association in contingency tables with fixed margins.
Comput. Stat. Data Anal.
Francesco Bartolucci, Luisa Scaccia
2003 J jnl
Likelihood-based inference for asymmetric stochastic volatility models.
Comput. Stat. Data Anal.
Francesco Bartolucci, Giovanni De Luca
1998 — conf
A Comparison of Recent EM Accelerators within Item Response Theory.
COMPSTAT
Francesco Bartolucci, A. Forcina, Elena Stanghellini