Francesco Bartolucci

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Fulvia PennoniAssistant Professor of StatisticsVerified email at unimib.it
Silvia BacciUniversità degli Studi di FirenzeVerified email at unifi.it
Silvia PandolfiAssociate Professor - Department of Economics - University of PerugiaVerified email at unipg.it
Alessio FarcomeniUniversity of Rome "Tor Vergata"Verified email at uniroma2.it
antonio forcinaDipartimenti di Economia, Università di PerugiaVerified email at stat.unipg.it
michela gnaldiProfessore associato di Statistica socialeVerified email at unipg.it
luisa scacciaProfessore Associato di Statistica, Dipartimento di Economia e Diritto, Università di MacerataVerified email at unimc.it
Antonietta MiraProfessore di Statistica, Università della Svizzera italiana, LuganoVerified email at usi.ch
Manuela ChiavariniUniversità PerugiaVerified email at unipg.it
Luca PieroniAssociate Professor, Department of Political Science, University of PerugiaVerified email at unipg.it
Giovanni De LucaUniversità di Napoli ParthenopeVerified email at uniparthenope.it
Franco PeracchiEIEF and University of Rome Tor VergataVerified email at uniroma2.it
Monia LupparelliUniversity of FlorenceVerified email at unifi.it
Enrico MarelliProfessore di Politica economica, Università di BresciaVerified email at eco.unibs.it
Brian FrancisProfessor of Social Statistics, Lancaster UniversityVerified email at Lancaster.ac.uk
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie
Maria Giovanna RanalliAssociate Professor of Statistics, University of PerugiaVerified email at unipg.it
Ruggero BellioProfessor of Statistics, University of UdineVerified email at uniud.it
nicola sartoriDepartment of Statistical Sciences, University of PadovaVerified email at stat.unipd.it
Alessandra SalvanDepartment of Statistical Sciences, University of PadovaVerified email at unipd.it

Francesco Bartolucci

Professor of Statistics - Department of Economics - University of Perugia

Verified email at stat.unipg.it - Homepage

Statistics Econometrics Latent variable models Longitudinal data


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Latent Markov models for longitudinal data F Bartolucci, A Farcomeni, F Pennoni AMC, 2013	364	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	218	2015
Statistical analysis of questionnaires: A unified approach based on R and Stata F Bartolucci, S Bacci, M Gnaldi CRC press, 2015	152	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	144	2009
A class of multidimensional IRT models for testing unidimensionality and clustering items F Bartolucci Psychometrika 72, 141-157, 2007	128	2007
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	103	2007
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	101	2012
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	97	2017
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	86	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	82	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	77	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	73	2009
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	72	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	65	2006
A recursive algorithm for Markov random fields F Bartolucci, J Besag Biometrika 89 (3), 724-730, 2002	65	2002
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	64	2018
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
Efficient Bayes factor estimation from the reversible jump output F Bartolucci, L Scaccia, A Mira Biometrika 93 (1), 41-52, 2006	62*	2006
The use of mixtures for dealing with non-normal regression errors F Bartolucci, L Scaccia Computational Statistics & Data Analysis 48 (4), 821-834, 2005	61	2005
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	60	2015

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