Antonio Punzo

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Luca BagnatoAssociate ProfessorVerified email at unicatt.it
Angelo MazzaFull Professor of Demography, University of CataniaVerified email at unict.it
Salvatore IngrassiaFull Professor of Statistics, Università di Catania (Italy)Verified email at unict.it
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, CanadaVerified email at math.mcmaster.ca
Salvatore Daniele TomarchioUniversity of CataniaVerified email at unict.it
Antonello MaruottiLibera Università Maria Ss. AssuntaVerified email at lumsa.it
Ryan BrowneUniversity of WaterlooVerified email at uwaterloo.ca
Simona C MinottiScientist and Senior Statistician, Trillium Health Partners, Institute for Better HealthVerified email at thp.ca
Giorgio Vittadiniprofessore di statisticaVerified email at unimib.it
Roberto Di MariUniversità degli Studi di CataniaVerified email at unict.it
Sanjeena Dang (Subedi)Associate Professor and Canada Research Chair, Carleton UniversityVerified email at math.carleton.ca
Alessio FarcomeniUniversity of Rome "Tor Vergata"Verified email at uniroma2.it
Maria Grazia ZoiaUniversità Cattolica del Sacro CuoreVerified email at unicatt.it
Utkarsh J. DangCarleton UniversityVerified email at carleton.ca
Zsuzsa Bakkzsuzsabakk.nlVerified email at fsw.leidenuniv.nl
Cristina TortoraAssociate Professor San Jose State UniversityVerified email at sjsu.edu
Francesco LagonaProfessor of Statistics, University Roma TreVerified email at uniroma3.it
gianluca mastrantonioPolitecnico di TorinoVerified email at polito.it
Orietta NicolisUniversidad Andres BelloVerified email at unab.cl
Michele BattistiProfessor of Economics, University of PalermoVerified email at unipa.it

Antonio Punzo

Full Professor of Statistics, University of Catania

Verified email at unict.it - Homepage

Mixture Models Hidden Markov Models Heavy-tailed Distributions Serial Dependence Item Response Theory


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Parsimonious mixtures of multivariate contaminated normal distributions A Punzo, PD McNicholas Biometrical Journal 58 (6), 1506-1537, 2016	144*	2016
Model-based clustering via linear cluster-weighted models S Ingrassia, SC Minotti, A Punzo Computational Statistics & Data Analysis 71, 159-182, 2014	100	2014
KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory A Mazza, A Punzo, B McGuire Journal of Statistical Software 58 (6), 1-34, 2014	91*	2014
Finite mixtures of unimodal beta and gamma densities and the k-bumps algorithm L Bagnato, A Punzo Computational Statistics 28 (4), 1571-1597, 2013	76	2013
The Generalized Linear Mixed Cluster-Weighted Model S Ingrassia, A Punzo, G Vittadini, S Minotti Journal of Classification 32 (1), 85-113, 2015	74*	2015
Clustering and classification via cluster-weighted factor analyzers S Subedi, A Punzo, S Ingrassia, PD McNicholas Advances in Data Analysis and Classification 7 (1), 5-40, 2013	71	2013
Compound unimodal distributions for insurance losses A Punzo, L Bagnato, A Maruotti Insurance: Mathematics and Economics 81, 95-107, 2018	69	2018
Robust clustering in regression analysis via the contaminated Gaussian cluster-weighted model A Punzo, PD McNicholas Journal of Classification 34, 249-293, 2017	64	2017
Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction S Subedi, A Punzo, S Ingrassia, PD McNicholas Statistical Methods & Applications 24 (4), 623-649, 2015	55	2015
A new look at the inverse Gaussian distribution with applications to insurance and economic data A Punzo Journal of Applied Statistics 46 (7), 1260-1287, 2019	54	2019
Multivariate response and parsimony for Gaussian cluster-weighted models UJ Dang, A Punzo, PD McNicholas, S Ingrassia, RP Browne Journal of Classification 34, 4-34, 2017	53	2017
The multivariate leptokurtic‐normal distribution and its application in model‐based clustering L Bagnato, A Punzo, MG Zoia Canadian Journal of Statistics 45 (1), 95-119, 2017	49	2017
Flexible mixture modelling with the polynomial Gaussian cluster-weighted model A Punzo Statistical Modelling 14 (3), 257-291, 2014	49	2014
Fitting insurance and economic data with outliers: a flexible approach based on finite mixtures of contaminated gamma distributions A Punzo, A Mazza, A Maruotti Journal of Applied Statistics 45 (14), 2563-2584, 2018	48	2018
ContaminatedMixt: An R package for fitting parsimonious mixtures of multivariate contaminated normal distributions A Punzo, A Mazza, PD McNicholas Journal of Statistical Software 85 (10), 1-25, 2018	48	2018
Clustering multivariate longitudinal observations: The contaminated Gaussian hidden Markov model A Punzo, A Maruotti Journal of Computational and Graphical Statistics 25 (4), 1097-1098, 2016	45	2016
flexCWM: A Flexible Framework for Cluster-Weighted Models A Mazza, A Punzo, S Ingrassia Journal of Statistical Software 86 (2), 1-30, 2018	39*	2018
Clustering bivariate mixed-type data via the cluster-weighted model A Punzo, S Ingrassia Computational Statistics 31 (3), 989-1013, 2016	37	2016
Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers A Maruotti, A Punzo Computational Statistics & Data Analysis 113, 475-496, 2017	36	2017
Mixtures of multivariate contaminated normal regression models A Mazza, A Punzo Statistical Papers 61 (2), 787-822, 2020	34	2020

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