Antonio Punzo

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Luca BagnatoAssociate ProfessorVerified email at unicatt.it
Salvatore IngrassiaFull Professor of Statistics, Università di Catania (Italy)Verified email at unict.it
Angelo MazzaFull Professor of Demography, University of CataniaVerified 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
Cristina TortoraAssociate Professor San Jose State UniversityVerified email at sjsu.edu
Utkarsh J. DangCarleton UniversityVerified email at carleton.ca
Zsuzsa Bakkzsuzsabakk.nlVerified email at fsw.leidenuniv.nl
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
Adel MohammadpourAssociate Professor of StatisticsVerified email at ucalgary.ca

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	155*	2016
Model-based clustering via linear cluster-weighted models S Ingrassia, SC Minotti, A Punzo Computational Statistics & Data Analysis 71, 159-182, 2014	104	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	90	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	86	2013
Compound unimodal distributions for insurance losses A Punzo, L Bagnato, A Maruotti Insurance: Mathematics and Economics 81, 95-107, 2018	80	2018
The Generalized Linear Mixed Cluster-Weighted Model S Ingrassia, A Punzo, G Vittadini, S Minotti Journal of Classification 32 (1), 85-113, 2015	76*	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	74	2013
Robust clustering in regression analysis via the contaminated Gaussian cluster-weighted model A Punzo, PD McNicholas Journal of Classification 34, 249-293, 2017	70	2017
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	63	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	56	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	56	2015
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	53	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	52	2018
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	50	2017
Flexible mixture modelling with the polynomial Gaussian cluster-weighted model A Punzo Statistical Modelling 14 (3), 257-291, 2014	49	2014
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	47	2016
Mixtures of multivariate contaminated normal regression models A Mazza, A Punzo Statistical Papers 61 (2), 787-822, 2020	41	2020
flexCWM: A Flexible Framework for Cluster-Weighted Models A Mazza, A Punzo, S Ingrassia Journal of Statistical Software 86 (2), 1-30, 2018	41*	2018
Hidden Markov and semi-Markov models with multivariate leptokurtic-normal components for robust modeling of daily returns series A Maruotti, A Punzo, L Bagnato Journal of Financial Econometrics 17 (1), 91-117, 2019	38	2019
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	38	2017

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