Antonio Punzo
Title
Cited by
Cited by
Year
Parsimonious mixtures of multivariate contaminated normal distributions
A Punzo, PD McNicholas
Biometrical Journal 58 (6), 1506-1537, 2016
63*2016
Model-based clustering via linear cluster-weighted models
S Ingrassia, SC Minotti, A Punzo
Computational Statistics & Data Analysis 71, 159-182, 2014
592014
Finite mixtures of unimodal beta and gamma densities and the k-bumps algorithm
L Bagnato, A Punzo
Computational Statistics 28 (4), 1571-1597, 2013
532013
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
502013
The Generalized Linear Mixed Cluster-Weighted Model
S Ingrassia, A Punzo, G Vittadini, S Minotti
Journal of Classification 32 (1), 85-113, 2015
45*2015
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
45*2014
Robust clustering in regression analysis via the contaminated Gaussian cluster-weighted model
A Punzo, PD McNicholas
Journal of Classification 34 (2), 249-293, 2017
342017
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
342015
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
292016
Flexible mixture modelling with the polynomial Gaussian cluster-weighted model
A Punzo
Statistical Modelling 14 (3), 257-291, 2014
272014
Multivariate response and parsimony for Gaussian cluster-weighted models
UJ Dang, A Punzo, PD McNicholas, S Ingrassia, RP Browne
Journal of Classification 34 (1), 4-34, 2017
252017
Discrete approximations of continuous and mixed measures on a compact interval
A Punzo, A Zini
Statistical Papers 53 (3), 563-575, 2012
252012
flexCWM: A Flexible Framework for Cluster-Weighted Models
A Mazza, A Punzo, S Ingrassia
Journal of Statistical Software 86 (2), 1-30, 2018
23*2018
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
232017
Hypothesis Testing for Mixture Model Selection
A Punzo, RP Browne, PD McNicholas
Journal of Statistical Computation and Simulation 86 (14), 2797-2818, 2016
232016
Clustering bivariate mixed-type data via the cluster-weighted model
A Punzo, S Ingrassia
Computational Statistics 31 (3), 989-1013, 2016
232016
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
212018
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
192017
Discrete beta-type models
A Punzo
Classification as a Tool for Research; Studies in Classification, Data …, 2010
192010
Compound unimodal distributions for insurance losses
A Punzo, L Bagnato, A Maruotti
Insurance: Mathematics and Economics 81, 95-107, 2018
182018
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Articles 1–20