Antonio Punzo

According to our database, Antonio Punzo authored at least 36 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Matrix-Variate Hidden Markov Regression Models: Fixed and Random Covariates.

Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti

J. Classif., November, 2024

Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions.

Ryan P. Browne, Luca Bagnato, Antonio Punzo

Adv. Data Anal. Classif., September, 2024

A Laplace-based model with flexible tail behavior.

Cristina Tortora, Brian C. Franczak, Luca Bagnato, Antonio Punzo

Comput. Stat. Data Anal., April, 2024

Model-based clustering using a new multivariate skew distribution.

Salvatore D. Tomarchio, Luca Bagnato, Antonio Punzo

Adv. Data Anal. Classif., March, 2024

The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO.

Luca Bagnato, Alessio Farcomeni, Antonio Punzo

Stat. Anal. Data Min., February, 2024

2023

Parsimonious mixtures for the analysis of tensor-variate data.

Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato

Stat. Comput., December, 2023

Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models.

Roberto Di Mari, Salvatore Ingrassia, Antonio Punzo

J. Classif., July, 2023

2022

Mixtures of Matrix-Variate Contaminated Normal Distributions.

Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo, Paul D. McNicholas

J. Comput. Graph. Stat., January, 2022

Parsimonious hidden Markov models for matrix-variate longitudinal data.

Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti

Stat. Comput., 2022

Quantile hidden semi-Markov models for multivariate time series.

Luca Merlo, Antonello Maruotti, Lea Petrella, Antonio Punzo

Stat. Comput., 2022

Dimension-wise scaled normal mixtures with application to finance and biometry.

Antonio Punzo, Luca Bagnato

J. Multivar. Anal., 2022

Correction to: Multivariate cluster weighted models using skewed distributions.

Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo

Adv. Data Anal. Classif., 2022

Multivariate cluster weighted models using skewed distributions.

Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo

Adv. Data Anal. Classif., 2022

2021

Unconstrained representation of orthogonal matrices with application to common principal components.

Luca Bagnato, Antonio Punzo

Comput. Stat., 2021

Matrix Normal Cluster-Weighted Models.

Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo

J. Classif., 2021

On the Use of the Matrix-Variate Tail-Inflated Normal Distribution for Parsimonious Mixture Modeling.

Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato

Proceedings of the Studies in Theoretical and Applied Statistics, 2021

2020

High-dimensional unsupervised classification via parsimonious contaminated mixtures.

Antonio Punzo, Martin Blostein, Paul D. McNicholas

Pattern Recognit., 2020

Two new matrix-variate distributions with application in model-based clustering.

Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato

Comput. Stat. Data Anal., 2020

Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition.

Salvatore Ingrassia, Antonio Punzo

J. Classif., 2020

2019

Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions.

Katherine Morris, Antonio Punzo, Paul D. McNicholas, Ryan P. Browne

Comput. Stat. Data Anal., 2019

2017

Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers.

Antonello Maruotti, Antonio Punzo

Comput. Stat. Data Anal., 2017

Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model.

Antonio Punzo, Paul D. McNicholas

J. Classif., 2017

Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models.

Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas, Salvatore Ingrassia, Ryan P. Browne

J. Classif., 2017

2016

Clustering bivariate mixed-type data via the cluster-weighted model.

Antonio Punzo, Salvatore Ingrassia

Comput. Stat., 2016

2015

Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction.

Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas

Stat. Methods Appl., 2015

Erratum to: The Generalized Linear Mixed Cluster-Weighted Model.

Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti

J. Classif., 2015

The Generalized Linear Mixed Cluster-Weighted Model.

Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti

J. Classif., 2015

2014

On the Spectral Decomposition in Normal Discriminant Analysis.

Luca Bagnato, Francesca Greselin, Antonio Punzo

Commun. Stat. Simul. Comput., 2014

Model-based clustering via linear cluster-weighted models.

Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo

Comput. Stat. Data Anal., 2014

2013

Graduation by Adaptive Discrete Beta Kernels.

Angelo Mazza, Antonio Punzo

Proceedings of the Classification and Data Mining, 2013

Using the Variation Coefficient for Adaptive Discrete Beta Kernel Graduation.

Angelo Mazza, Antonio Punzo

Proceedings of the Statistical Models for Data Analysis, 2013

Finite mixtures of unimodal beta and gamma densities and the k-bumps algorithm.

Luca Bagnato, Antonio Punzo

Comput. Stat., 2013

Clustering and classification via cluster-weighted factor analyzers.

Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas

Adv. Data Anal. Classif., 2013

2011

Assessing the pattern of covariance matrices via an augmentation multiple testing procedure.

Francesca Greselin, Salvatore Ingrassia, Antonio Punzo

Stat. Methods Appl., 2011

2010

Checking Serial Independence of Residuals from a Nonlinear Model.

Luca Bagnato, Antonio Punzo

Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

2008

Considerations on the Impact of Ill-Conditioned Configurations in the CML Approach.

Antonio Punzo

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008