Antonio Punzo

39 papers Journal 34Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together.
J. Classif.
Salvatore D. Tomarchio, Antonio Punzo, Johannes T. Ferreira, Andriëtte Bekker
2025 J jnl
An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data.
Stat. Comput.
Victor H. Lachos, Salvatore D. Tomarchio, Antonio Punzo, Salvatore Ingrassia
2025 J jnl
Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns.
Adv. Data Anal. Classif.
Antonio Punzo, Luca Bagnato
2024 J jnl
A Laplace-based model with flexible tail behavior.
Comput. Stat. Data Anal.
Cristina Tortora, Brian C. Franczak, Luca Bagnato, Antonio Punzo
2024 J jnl
Matrix-Variate Hidden Markov Regression Models: Fixed and Random Covariates.
J. Classif.
Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti
2024 J jnl
Model-based clustering using a new multivariate skew distribution.
Adv. Data Anal. Classif.
Salvatore D. Tomarchio, Luca Bagnato, Antonio Punzo
2024 J jnl
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions.
Adv. Data Anal. Classif.
Ryan P. Browne, Luca Bagnato, Antonio Punzo
2024 J jnl
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO.
Stat. Anal. Data Min.
Luca Bagnato, Alessio Farcomeni, Antonio Punzo
2023 J jnl
Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models.
J. Classif.
Roberto Di Mari, Salvatore Ingrassia, Antonio Punzo
2023 J jnl
Parsimonious mixtures for the analysis of tensor-variate data.
Stat. Comput.
Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato
2022 J jnl
Correction to: Multivariate cluster weighted models using skewed distributions.
Adv. Data Anal. Classif.
Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
2022 J jnl
Dimension-wise scaled normal mixtures with application to finance and biometry.
J. Multivar. Anal.
Antonio Punzo, Luca Bagnato
2022 J jnl
Mixtures of Matrix-Variate Contaminated Normal Distributions.
J. Comput. Graph. Stat.
Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo, Paul D. McNicholas
2022 J jnl
Multivariate cluster weighted models using skewed distributions.
Adv. Data Anal. Classif.
Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
2022 J jnl
Parsimonious hidden Markov models for matrix-variate longitudinal data.
Stat. Comput.
Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti
2022 J jnl
Quantile hidden semi-Markov models for multivariate time series.
Stat. Comput.
Luca Merlo, Antonello Maruotti, Lea Petrella, Antonio Punzo
2021 J jnl
Matrix Normal Cluster-Weighted Models.
J. Classif.
Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo
2021 — conf
On the Use of the Matrix-Variate Tail-Inflated Normal Distribution for Parsimonious Mixture Modeling.
SIS
Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato
2021 J jnl
Unconstrained representation of orthogonal matrices with application to common principal components.
Comput. Stat.
Luca Bagnato, Antonio Punzo
2020 J jnl
Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition.
J. Classif.
Salvatore Ingrassia, Antonio Punzo
2020 J jnl
High-dimensional unsupervised classification via parsimonious contaminated mixtures.
Pattern Recognit.
Antonio Punzo, Martin Blostein, Paul D. McNicholas
2020 J jnl
Two new matrix-variate distributions with application in model-based clustering.
Comput. Stat. Data Anal.
Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato
2019 J jnl
Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions.
Comput. Stat. Data Anal.
Katherine Morris, Antonio Punzo, Paul D. McNicholas, Ryan P. Browne
2017 J jnl
Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers.
Comput. Stat. Data Anal.
Antonello Maruotti, Antonio Punzo
2017 J jnl
Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models.
J. Classif.
Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas, Salvatore Ingrassia, Ryan P. Browne
2017 J jnl
Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model.
J. Classif.
Antonio Punzo, Paul D. McNicholas
2016 J jnl
Clustering bivariate mixed-type data via the cluster-weighted model.
Comput. Stat.
Antonio Punzo, Salvatore Ingrassia
2015 J jnl
Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction.
Stat. Methods Appl.
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas
2015 J jnl
Erratum to: The Generalized Linear Mixed Cluster-Weighted Model.
J. Classif.
Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti
2015 J jnl
The Generalized Linear Mixed Cluster-Weighted Model.
J. Classif.
Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti
2014 J jnl
Model-based clustering via linear cluster-weighted models.
Comput. Stat. Data Anal.
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo
2014 J jnl
On the Spectral Decomposition in Normal Discriminant Analysis.
Commun. Stat. Simul. Comput.
Luca Bagnato, Francesca Greselin, Antonio Punzo
2013 J jnl
Clustering and classification via cluster-weighted factor analyzers.
Adv. Data Anal. Classif.
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas
2013 J jnl
Finite mixtures of unimodal beta and gamma densities and the k-bumps algorithm.
Comput. Stat.
Luca Bagnato, Antonio Punzo
2013 — ch.
Graduation by Adaptive Discrete Beta Kernels.
Classification and Data Mining
Angelo Mazza, Antonio Punzo
2013 — ch.
Using the Variation Coefficient for Adaptive Discrete Beta Kernel Graduation.
Statistical Models for Data Analysis
Angelo Mazza, Antonio Punzo
2011 J jnl
Assessing the pattern of covariance matrices via an augmentation multiple testing procedure.
Stat. Methods Appl.
Francesca Greselin, Salvatore Ingrassia, Antonio Punzo
2010 — conf
Checking Serial Independence of Residuals from a Nonlinear Model.
GfKl
Luca Bagnato, Antonio Punzo
2008 — conf
Considerations on the Impact of Ill-Conditioned Configurations in the CML Approach.
GfKl
Antonio Punzo