Francesco Bartolucci

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Fulvia PennoniAssistant Professor of StatisticsEmail verificata su unimib.it
Alessio FarcomeniUniversity of Rome "Tor Vergata"Email verificata su uniroma2.it
Silvia PandolfiAssociate Professor - Department of Economics - University of PerugiaEmail verificata su unipg.it
antonio forcinaDipartimenti di Economia, Università di PerugiaEmail verificata su stat.unipg.it
michela gnaldiProfessore associato di Statistica socialeEmail verificata su unipg.it
luisa scacciaProfessore Associato di Statistica, Dipartimento di Economia e Diritto, Università di MacerataEmail verificata su unimc.it
Antonietta MiraProfessore di Statistica, Università della Svizzera italiana, LuganoEmail verificata su usi.ch
Marcello SignorelliUniversity of PerugiaEmail verificata su unipg.it
Franco PeracchiUniversity of Rome Tor Vergata and EIEFEmail verificata su uniroma2.it
Monia LupparelliUniversity of FlorenceEmail verificata su unifi.it
Giovanni De LucaUniversità di Napoli ParthenopeEmail verificata su uniparthenope.it
Enrico MarelliProfessore di Politica economica, Università di BresciaEmail verificata su eco.unibs.it
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Email verificata su ucd.ie
Brian FrancisProfessor of Social Statistics, Lancaster UniversityEmail verificata su Lancaster.ac.uk
Maria Giovanna RanalliAssociate Professor of Statistics, University of PerugiaEmail verificata su unipg.it
Ruggero BellioProfessor of Statistics, University of UdineEmail verificata su uniud.it
nicola sartoriDepartment of Statistical Sciences, University of PadovaEmail verificata su stat.unipd.it
Alessandra SalvanDepartment of Statistical Sciences, University of PadovaEmail verificata su unipd.it
Bruce George LindsayEberly Professor of Statistics, Penn StateEmail verificata su psu.edu
Federico BelottiDepartment of Economics and Finance, University of Rome Tor VergataEmail verificata su uniroma2.it

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Francesco Bartolucci

Professor of Statistics - Department of Economics - University of Perugia

Email verificata su stat.unipg.it - Home page

Statistics Econometrics Latent variable models Longitudinal data


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Latent Markov models for longitudinal data F Bartolucci, A Farcomeni, F Pennoni AMC, 2013	278	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	131	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	123	2009
Statistical analysis of questionnaires: A unified approach based on R and Stata F Bartolucci, S Bacci, M Gnaldi CRC Press, 2015	112	2015
A class of multidimensional IRT models for testing unidimensionality and clustering items F Bartolucci Psychometrika 72 (2), 141-157, 2007	107	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	93	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	76	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 …, 2007	76	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	70	2006
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	68	2012
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	66	2009
A recursive algorithm for Markov random fields F Bartolucci, J Besag Biometrika 89 (3), 724-730, 2002	66	2002
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	64	2006
Employment status and perceived health condition: longitudinal data from Italy L Minelli, C Pigini, M Chiavarini, F Bartolucci BMC public health 14 (1), 1-12, 2014	61	2014
Efficient Bayes factor estimation from the reversible jump output F Bartolucci, L Scaccia, A Mira Biometrika 93 (1), 41-52, 2006	59*	2006
Positive quadrant dependence and marginal modeling in two-way tables with ordered margins F Bartolucci, A Forcina, V Dardanoni Journal of the American Statistical Association 96 (456), 1497-1505, 2001	59	2001
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	56	2014
The use of mixtures for dealing with non-normal regression errors F Bartolucci, L Scaccia Computational Statistics & Data Analysis 48 (4), 821-834, 2005	53	2005
MultiLCIRT: An R package for multidimensional latent class item response models F Bartolucci, S Bacci, M Gnaldi Computational Statistics & Data Analysis 71, 971–985, 2014	51	2014
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	50	2011

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