Francesco Bartolucci

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Fulvia PennoniAssistant Professor of StatisticsE-mail confirmado em unimib.it
Silvia BacciUniversità degli Studi di FirenzeE-mail confirmado em unifi.it
Silvia PandolfiAssociate Professor - Department of Economics - University of PerugiaE-mail confirmado em unipg.it
Alessio FarcomeniUniversity of Rome "Tor Vergata"E-mail confirmado em uniroma2.it
antonio forcinaDipartimenti di Economia, Università di PerugiaE-mail confirmado em stat.unipg.it
michela gnaldiProfessore associato di Statistica socialeE-mail confirmado em unipg.it
Antonietta MiraProfessore di Statistica, Università della Svizzera italiana, LuganoE-mail confirmado em usi.ch
luisa scacciaProfessore Associato di Statistica, Dipartimento di Economia e Diritto, Università di MacerataE-mail confirmado em unimc.it
Manuela ChiavariniUniversità PerugiaE-mail confirmado em unipg.it
Luca PieroniAssociate Professor, Department of Political Science, University of PerugiaE-mail confirmado em unipg.it
Giovanni De LucaUniversità di Napoli ParthenopeE-mail confirmado em uniparthenope.it
Franco PeracchiEIEF and Tor Vergata University of RomeE-mail confirmado em uniroma2.it
Monia LupparelliUniversity of FlorenceE-mail confirmado em unifi.it
Enrico MarelliProfessore di Politica economica, Università di BresciaE-mail confirmado em eco.unibs.it
Brian FrancisProfessor of Social Statistics, Lancaster UniversityE-mail confirmado em Lancaster.ac.uk
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109E-mail confirmado em ucd.ie
Maria Giovanna RanalliAssociate Professor of Statistics, University of PerugiaE-mail confirmado em unipg.it
Ruggero BellioProfessor of Statistics, University of UdineE-mail confirmado em uniud.it
nicola sartoriDepartment of Statistical Sciences, University of PadovaE-mail confirmado em stat.unipd.it
Alessandra SalvanDepartment of Statistical Sciences, University of PadovaE-mail confirmado em unipd.it

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Francesco Bartolucci

Professor of Statistics - Department of Economics - University of Perugia

E-mail confirmado em stat.unipg.it - Página inicial

Statistics Econometrics Latent variable models Longitudinal data Hidden Markov models


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Latent Markov models for longitudinal data F Bartolucci, A Farcomeni, F Pennoni AMC, 2013	393	2013
Assessing user satisfaction in the era of user experience: Comparison of the SUS, UMUX, and UMUX-LITE as a function of product experience S Borsci, S Federici, S Bacci, M Gnaldi, F Bartolucci International journal of human-computer interaction 31 (8), 484-495, 2015	235	2015
Statistical analysis of questionnaires: A unified approach based on R and Stata F Bartolucci, S Bacci, M Gnaldi CRC press, 2015	164	2015
A multivariate extension of the dynamic logit model for longitudinal data based on a latent Markov heterogeneity structure F Bartolucci, A Farcomeni Journal of the American Statistical Association 104 (486), 816-831, 2009	156	2009
A class of multidimensional IRT models for testing unidimensionality and clustering items F Bartolucci Psychometrika 72 (2), 141-157, 2007	131	2007
LMest: An R package for latent Markov models for longitudinal categorical data F Bartolucci, S Pandolfi, F Pennoni Journal of Statistical Software 81, 1-38, 2017	108	2017
Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates F Bartolucci, A Farcomeni, F Pennoni Test 23, 433-465, 2012	108	2012
An extended class of marginal link functions for modelling contingency tables by equality and inequality constraints F Bartolucci, R Colombi, A Forcina Statistica Sinica, 691-711, 2007	104	2007
A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n‐Consistent Conditional Estimator F Bartolucci, V Nigro Econometrica 78 (2), 719-733, 2010	89	2010
A latent Markov model for detecting patterns of criminal activity F Bartolucci, F Pennoni, B Francis Journal of the Royal Statistical Society Series A: Statistics in Society 170 …, 2007	84	2007
Likelihood inference for a class of latent Markov models under linear hypotheses on the transition probabilities F Bartolucci Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2006	80	2006
Latent Markov model for longitudinal binary data: An application to the performance evaluation of nursing homes F Bartolucci, M Lupparelli, GE Montanari The Annals of Applied Statistics, 611-636, 2009	76	2009
GDP dynamics and unemployment changes in developed and developing countries F Bartolucci, MT Choudhry, E Marelli, M Signorelli Applied Economics 50 (31), 3338-3356, 2018	71	2018
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ... Elife 12, e81916, 2023	69	2023
Employment status and perceived health condition: longitudinal data from Italy L Minelli, C Pigini, M Chiavarini, F Bartolucci BMC public health 14, 1-12, 2014	68	2014
A class of latent marginal models for capture–recapture data with continuous covariates F Bartolucci, A Forcina Journal of the American Statistical Association 101 (474), 786-794, 2006	68	2006
Assessment of school performance through a multilevel latent Markov Rasch model F Bartolucci, F Pennoni, G Vittadini Journal of Educational and Behavioral Statistics 36 (4), 491-522, 2011	67	2011
A recursive algorithm for Markov random fields F Bartolucci, J Besag Biometrika 89 (3), 724-730, 2002	65	2002
A discrete time event‐history approach to informative drop‐out in mixed latent Markov models with covariates F Bartolucci, A Farcomeni Biometrics 71 (1), 80-89, 2015	63	2015
A class of Multidimensional Latent Class IRT models for ordinal polytomous item responses S Bacci, F Bartolucci, M Gnaldi Communications in Statistics-Theory and Methods 43 (4), 787-800, 2014	63	2014

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