Antonio Punzo

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 22

Top Topics

Automatic Model Selection

Unsupervised Classification

Generalized Linear

Discriminant Analysis

Top Venues

Comput. Stat. Data Anal.

Adv. Data Anal. Classif.

Publications

Salvatore D. Tomarchio, Luca Bagnato, Antonio Punzo
Model-based clustering using a new multivariate skew distribution. Adv. Data Anal. Classif. 18 (1) (2024)
Cristina Tortora, Brian C. Franczak, Luca Bagnato, Antonio Punzo
A Laplace-based model with flexible tail behavior. Comput. Stat. Data Anal. 192 (2024)
Luca Bagnato, Alessio Farcomeni, Antonio Punzo
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO. Stat. Anal. Data Min. 17 (1) (2024)
Roberto Di Mari, Salvatore Ingrassia, Antonio Punzo
Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models. J. Classif. 40 (2) (2023)
Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato
Parsimonious mixtures for the analysis of tensor-variate data. Stat. Comput. 33 (6) (2023)
Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
Correction to: Multivariate cluster weighted models using skewed distributions. Adv. Data Anal. Classif. 16 (4) (2022)
Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
Multivariate cluster weighted models using skewed distributions. Adv. Data Anal. Classif. 16 (1) (2022)
Luca Merlo, Antonello Maruotti, Lea Petrella, Antonio Punzo
Quantile hidden semi-Markov models for multivariate time series. Stat. Comput. 32 (4) (2022)
Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti
Parsimonious hidden Markov models for matrix-variate longitudinal data. Stat. Comput. 32 (3) (2022)
Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo, Paul D. McNicholas
Mixtures of Matrix-Variate Contaminated Normal Distributions. J. Comput. Graph. Stat. 31 (1) (2022)
Antonio Punzo, Luca Bagnato
Dimension-wise scaled normal mixtures with application to finance and biometry. J. Multivar. Anal. 191 (2022)
Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato
On the Use of the Matrix-Variate Tail-Inflated Normal Distribution for Parsimonious Mixture Modeling. SIS (2021)
Luca Bagnato, Antonio Punzo
Unconstrained representation of orthogonal matrices with application to common principal components. Comput. Stat. 36 (2) (2021)
Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
Matrix Normal Cluster-Weighted Models. J. Classif. 38 (3) (2021)
Antonio Punzo, Martin Blostein, Paul D. McNicholas
High-dimensional unsupervised classification via parsimonious contaminated mixtures. Pattern Recognit. 98 (2020)
Salvatore Ingrassia, Antonio Punzo
Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition. J. Classif. 37 (2) (2020)
Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato
Two new matrix-variate distributions with application in model-based clustering. Comput. Stat. Data Anal. 152 (2020)
Katherine Morris, Antonio Punzo, Paul D. McNicholas, Ryan P. Browne
Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions. Comput. Stat. Data Anal. 132 (2019)
Antonello Maruotti, Antonio Punzo
Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers. Comput. Stat. Data Anal. 113 (2017)
Antonio Punzo, Paul D. McNicholas
Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model. J. Classif. 34 (2) (2017)
Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas, Salvatore Ingrassia, Ryan P. Browne
Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models. J. Classif. 34 (1) (2017)
Antonio Punzo, Salvatore Ingrassia
Clustering bivariate mixed-type data via the cluster-weighted model. Comput. Stat. 31 (3) (2016)
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas
Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction. Stat. Methods Appl. 24 (4) (2015)
Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti
Erratum to: The Generalized Linear Mixed Cluster-Weighted Model. J. Classif. 32 (2) (2015)
Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti
The Generalized Linear Mixed Cluster-Weighted Model. J. Classif. 32 (1) (2015)
Luca Bagnato, Francesca Greselin, Antonio Punzo
On the Spectral Decomposition in Normal Discriminant Analysis. Commun. Stat. Simul. Comput. 43 (6) (2014)
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo
Model-based clustering via linear cluster-weighted models. Comput. Stat. Data Anal. 71 (2014)
Luca Bagnato, Antonio Punzo
Finite mixtures of unimodal beta and gamma densities and the k-bumps algorithm. Comput. Stat. 28 (4) (2013)
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas
Clustering and classification via cluster-weighted factor analyzers. Adv. Data Anal. Classif. 7 (1) (2013)
Francesca Greselin, Salvatore Ingrassia, Antonio Punzo
Assessing the pattern of covariance matrices via an augmentation multiple testing procedure. Stat. Methods Appl. 20 (2) (2011)
Luca Bagnato, Antonio Punzo
Checking Serial Independence of Residuals from a Nonlinear Model. GfKl (2010)
Antonio Punzo
Considerations on the Impact of Ill-Conditioned Configurations in the CML Approach. GfKl (2008)