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Antonio Punzo
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Year
Parsimonious mixtures of multivariate contaminated normal distributions
A Punzo, PD McNicholas
Biometrical Journal 58 (6), 1506-1537, 2016
95*2016
Model-based clustering via linear cluster-weighted models
S Ingrassia, SC Minotti, A Punzo
Computational Statistics & Data Analysis 71, 159-182, 2014
782014
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
67*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
652013
The Generalized Linear Mixed Cluster-Weighted Model
S Ingrassia, A Punzo, G Vittadini, S Minotti
Journal of Classification 32 (1), 85-113, 2015
59*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
572013
Robust clustering in regression analysis via the contaminated Gaussian cluster-weighted model
A Punzo, P McNicholas
Journal of Classification 34 (2), 249-293, 2017
512017
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
452015
Compound unimodal distributions for insurance losses
A Punzo, L Bagnato, A Maruotti
Insurance: Mathematics and Economics 81, 95-107, 2018
412018
Flexible mixture modelling with the polynomial Gaussian cluster-weighted model
A Punzo
Statistical Modelling 14 (3), 257-291, 2014
412014
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
402017
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
362016
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
342018
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
342017
Clustering bivariate mixed-type data via the cluster-weighted model
A Punzo, S Ingrassia
Computational Statistics 31 (3), 989-1013, 2016
342016
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
332018
flexCWM: A Flexible Framework for Cluster-Weighted Models
A Mazza, A Punzo, S Ingrassia
Journal of Statistical Software 86 (2), 1-30, 2018
31*2018
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
282019
Mixtures of multivariate contaminated normal regression models
A Mazza, A Punzo
Statistical Papers 61 (2), 787-822, 2020
272020
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
272017
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