Francesco Bartolucci

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 16

Top Topics

Variational Inference

Attitudes Toward

Maximum Likelihood

User Satisfaction

Top Venues

Comput. Stat. Data Anal.

Adv. Data Anal. Classif.

Publications

Luca Brusa, Fulvia Pennoni, Francesco Bartolucci
Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms. Stat. Comput. 34 (1) (2024)
Luca Brusa, Francesco Bartolucci, Fulvia Pennoni
Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models. Comput. Stat. 38 (3) (2023)
Luca Brusa, Francesco Bartolucci, Fulvia Pennoni
Tempered expectation-maximization algorithm for the estimation of discrete latent variable models. Comput. Stat. 38 (3) (2023)
Ewa Genge, Francesco Bartolucci
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models. Adv. Data Anal. Classif. 16 (2) (2022)
David Aristei, Silvia Bacci, Francesco Bartolucci, Silvia Pandolfi
A bivariate finite mixture growth model with selection. Adv. Data Anal. Classif. 15 (3) (2021)
Francesco Bartolucci, Silvia Pandolfi
An exact algorithm for time-dependent variational inference for the dynamic stochastic block model. Pattern Recognit. Lett. 138 (2020)
Francesco Bartolucci, Fulvia Pennoni
Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence. Stat. Methods Appl. 28 (3) (2019)
Francesco Bartolucci, Maria Francesca Marino, Silvia Pandolfi
Dealing with reciprocity in dynamic stochastic block models. Comput. Stat. Data Anal. 123 (2018)
Francesco Bartolucci, Giorgio E. Montanari, Silvia Pandolfi
Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation. J. Classif. 35 (1) (2018)
Michela Gnaldi, Silvia Bacci, Francesco Bartolucci
A multilevel finite mixture item response model to cluster examinees and schools. Adv. Data Anal. Classif. 10 (1) (2016)
Francesco Bartolucci, Giorgio E. Montanari, Silvia Pandolfi
Item selection by latent class-based methods: an application to nursing home evaluation. Adv. Data Anal. Classif. 10 (2) (2016)
Silvia Bacci, Francesco Bartolucci
Two-Tier Latent Class IRT Models in R. R J. 8 (2) (2016)
Francesco Bartolucci, Alessio Farcomeni
Information matrix for hidden Markov models with covariates. Stat. Comput. 25 (3) (2015)
Simone Borsci, Stefano Federici, Silvia Bacci, Michela Gnaldi, Francesco Bartolucci
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. 31 (8) (2015)
Francesco Bartolucci, Giorgio E. Montanari, Silvia Pandolfi
Three-step estimation of latent Markov models with covariates. Comput. Stat. Data Anal. 83 (2015)
Francesco Bartolucci
A comparison between the g-index and the h-index based on concentration. J. Assoc. Inf. Sci. Technol. 66 (12) (2015)
Francesco Bartolucci, Silvia Pandolfi
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. 38 (2014)
Silvia Bacci, Francesco Bartolucci
Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data. Comput. Stat. Data Anal. 71 (2014)
Francesco Bartolucci, Silvia Pandolfi
A New Constant Memory Recursion for Hidden Markov Models. J. Comput. Biol. 21 (2) (2014)
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
A generalized multiple-try version of the Reversible Jump algorithm. Comput. Stat. Data Anal. 72 (2014)
Francesco Bartolucci, Silvia Bacci, Michela Gnaldi
MultiLCIRT: An R package for multidimensional latent class item response models. Comput. Stat. Data Anal. 71 (2014)
Francesco Bartolucci
On a possible decomposition of the h-index. J. Assoc. Inf. Sci. Technol. 63 (10) (2012)
Francesco Bartolucci, Luisa Scaccia, Alessio Farcomeni
Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data. Comput. Stat. Data Anal. 56 (12) (2012)
Silvia Pandolfi, Francesco Bartolucci, Nial Friel
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection. AISTATS (2010)
Francesco Bartolucci, Valentina Nigro
Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data. Comput. Stat. Data Anal. 51 (7) (2007)
Francesco Bartolucci
Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures. J. Classif. 22 (2) (2005)
Francesco Bartolucci, Luisa Scaccia
The use of mixtures for dealing with non-normal regression errors. Comput. Stat. Data Anal. 48 (4) (2005)
Francesco Bartolucci, Luisa Scaccia
Testing for positive association in contingency tables with fixed margins. Comput. Stat. Data Anal. 47 (1) (2004)
Francesco Bartolucci, Giovanni De Luca
Likelihood-based inference for asymmetric stochastic volatility models. Comput. Stat. Data Anal. 42 (3) (2003)