Monia Lupparelli

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Francesco BartolucciProfessor of Statistics - Department of Economics - University of PerugiaVerified email at stat.unipg.it
Giovanni Maria MarchettiProfessor of StatisticsVerified email at unifi.it
Wicher BergsmaProfessor, London School of EconomicsVerified email at lse.ac.uk
Giorgio Eduardo MontanariProfessore di StatisticaVerified email at unipg.it
Luca La RoccaAssociate Professor of Statistics, University of Modena and Reggio EmiliaVerified email at unimore.it
antonio forcinaDipartimenti di Economia, Università di PerugiaVerified email at stat.unipg.it
Fulvia PennoniAssistant Professor of StatisticsVerified email at unimib.it
Claudia TarantolaUniversity of PaviaVerified email at unipv.it
Ioannis NtzoufrasProfessor in Statistics, Department of Statistics, Athens University of Economics and BusinessVerified email at aueb.gr
Guido ConsonniProfessor of Statistics, Universita' Cattolica del Sacro CuoreVerified email at unicatt.it

Monia Lupparelli

University of Florence

Verified email at unifi.it

network graphical model categorial data analysis latent variable model


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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	70	2009
Chain graph models of multivariate regression type for categorical data GM Marchetti, M Lupparelli	54	2011
Parameterization and fitting of discrete bi-directed graph models M Lupparelli, GM Marchetti, WP Bergsma Scandinavian Journal of Statistics 36, 559-576, 2009	38*	2009
Log-mean linear models for binary data A Roverato, M Lupparelli, L La Rocca Biometrika 100 (2), 485-494, 2013	25	2013
Focused information criterion for capture–recapture models for closed populations F Bartolucci, M Lupparelli Scandinavian Journal of Statistics 35 (4), 629-649, 2008	22	2008
Marginal parameterizations of discrete models defined by a set of conditional independencies A Forcina, M Lupparelli, GM Marchetti Journal of Multivariate Analysis 101 (10), 2519-2527, 2010	17	2010
Pairwise likelihood inference for nested hidden Markov chain models for multilevel longitudinal data F Bartolucci, M Lupparelli Journal of the American Statistical Association 111 (513), 216-228, 2016	16	2016
Likelihood inference for the latent Markov Rash model F Bartolucci, F Pennoni, M Lupparelli Mathematical methods for survival analysis, reliability and quality of life …, 2008	13	2008
Log-mean linear regression models for binary responses with an application to multimorbidity M Lupparelli, A Roverato Journal of the Royal Statistical Society Series C: Applied Statistics 66 (2 …, 2017	6	2017
Conditional and marginal relative risk parameters for a class of recursive regression graph models M Lupparelli Statistical Methods in Medical Research 28 (10-11), 3466-3486, 2019	4	2019
Probability based independence sampler for Bayesian quantitative learning in graphical log-linear marginal models I Ntzoufras, C Tarantola, M Lupparelli	3	2019
Bayesian model comparison based on expected posterior priors for discrete decomposable graphical models G Consonni, M Lupparelli Journal of statistical planning and inference 139 (12), 4154-4164, 2009	1	2009

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