Francesco Bartolucci

According to our database1, Francesco Bartolucci authored at least 25 papers between 2003 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



A bivariate finite mixture growth model with selection.
Adv. Data Anal. Classif., 2021

An exact algorithm for time-dependent variational inference for the dynamic stochastic block model.
Pattern Recognit. Lett., 2020

Comment on: The class of CUB models: statistical foundations, inferential issues and empirical evidence.
Stat. Methods Appl., 2019

Dealing with reciprocity in dynamic stochastic block models.
Comput. Stat. Data Anal., 2018

Latent Ignorability and Item Selection for Nursing Home Case-Mix Evaluation.
J. Classif., 2018

Two-Tier Latent Class IRT Models in R.
R J., 2016

A multilevel finite mixture item response model to cluster examinees and schools.
Adv. Data Anal. Classif., 2016

Item selection by latent class-based methods: an application to nursing home evaluation.
Adv. Data Anal. Classif., 2016

Information matrix for hidden Markov models with covariates.
Stat. Comput., 2015

A comparison between the g-index and the h-index based on concentration.
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.
Int. J. Hum. Comput. Interact., 2015

Three-step estimation of latent Markov models with covariates.
Comput. Stat. Data Anal., 2015

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., 2014

A New Constant Memory Recursion for Hidden Markov Models.
J. Comput. Biol., 2014

A generalized multiple-try version of the Reversible Jump algorithm.
Comput. Stat. Data Anal., 2014

MultiLCIRT: An R package for multidimensional latent class item response models.
Comput. Stat. Data Anal., 2014

Mixtures of equispaced normal distributions and their use for testing symmetry with univariate data.
Comput. Stat. Data Anal., 2014

On a possible decomposition of the h-index.
J. Assoc. Inf. Sci. Technol., 2012

Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data.
Comput. Stat. Data Anal., 2012

A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Maximum likelihood estimation of an extended latent Markov model for clustered binary panel data.
Comput. Stat. Data Anal., 2007

The use of mixtures for dealing with non-normal regression errors.
Comput. Stat. Data Anal., 2005

Clustering Univariate Observations via Mixtures of Unimodal Normal Mixtures.
J. Classif., 2005

Testing for positive association in contingency tables with fixed margins.
Comput. Stat. Data Anal., 2004

Likelihood-based inference for asymmetric stochastic volatility models.
Comput. Stat. Data Anal., 2003