Considerations on the Impact of Ill-Conditioned Configurations in the CML Approach. - Antonio Punzo (GfKl, 2008)

Checking Serial Independence of Residuals from a Nonlinear Model. - Luca Bagnato; Antonio Punzo (GfKl, 2010)

Assessing the pattern of covariance matrices via an augmentation multiple testing procedure. - Francesca Greselin; Salvatore Ingrassia; Antonio Punzo (Stat. Methods Appl., 2011)

Clustering and classification via cluster-weighted factor analyzers. - Sanjeena Subedi; Antonio Punzo; Salvatore Ingrassia; Paul D. McNicholas (Adv. Data Anal. Classif., 2013)

Finite mixtures of unimodal beta and gamma densities and the k-bumps algorithm. - Luca Bagnato; Antonio Punzo (Comput. Stat., 2013)

Using the Variation Coefficient for Adaptive Discrete Beta Kernel Graduation. - Angelo Mazza; Antonio Punzo (Statistical Models for Data Analysis, 2013)

Graduation by Adaptive Discrete Beta Kernels. - Angelo Mazza; Antonio Punzo (Classification and Data Mining, 2013)

Model-based clustering via linear cluster-weighted models. - Salvatore Ingrassia; Simona C. Minotti; Antonio Punzo (Comput. Stat. Data Anal., 2014)

On the Spectral Decomposition in Normal Discriminant Analysis. - Luca Bagnato; Francesca Greselin; Antonio Punzo (Commun. Stat. Simul. Comput., 2014)

The Generalized Linear Mixed Cluster-Weighted Model. - Salvatore Ingrassia; Antonio Punzo; Giorgio Vittadini; Simona C. Minotti (J. Classif., 2015)

Erratum to: The Generalized Linear Mixed Cluster-Weighted Model. - Salvatore Ingrassia; Antonio Punzo; Giorgio Vittadini; Simona C. Minotti (J. Classif., 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)

Clustering bivariate mixed-type data via the cluster-weighted model. - Antonio Punzo; Salvatore Ingrassia (Comput. Stat., 2016)

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)

Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model. - Antonio Punzo; Paul D. McNicholas (J. Classif., 2017)

Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers. - Antonello Maruotti; Antonio Punzo (Comput. Stat. Data Anal., 2017)

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)

Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition. - Salvatore Ingrassia; Antonio Punzo (J. Classif., 2020)

Two new matrix-variate distributions with application in model-based clustering. - Salvatore D. Tomarchio; Antonio Punzo; Luca Bagnato (Comput. Stat. Data Anal., 2020)

High-dimensional unsupervised classification via parsimonious contaminated mixtures. - Antonio Punzo; Martin Blostein; Paul D. McNicholas (Pattern Recognit., 2020)

On the Use of the Matrix-Variate Tail-Inflated Normal Distribution for Parsimonious Mixture Modeling. - Salvatore D. Tomarchio; Antonio Punzo; Luca Bagnato (SIS, 2021)

Matrix Normal Cluster-Weighted Models. - Salvatore D. Tomarchio; Paul D. McNicholas; Antonio Punzo (J. Classif., 2021)

Unconstrained representation of orthogonal matrices with application to common principal components. - Luca Bagnato; Antonio Punzo (Comput. Stat., 2021)

Multivariate cluster weighted models using skewed distributions. - Michael P. B. Gallaugher; Salvatore D. Tomarchio; Paul D. McNicholas; Antonio Punzo (Adv. Data Anal. Classif., 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)

Dimension-wise scaled normal mixtures with application to finance and biometry. - Antonio Punzo; Luca Bagnato (J. Multivar. Anal., 2022)

Quantile hidden semi-Markov models for multivariate time series. - Luca Merlo; Antonello Maruotti; Lea Petrella; Antonio Punzo (Stat. Comput., 2022)

Parsimonious hidden Markov models for matrix-variate longitudinal data. - Salvatore D. Tomarchio; Antonio Punzo; Antonello Maruotti (Stat. Comput., 2022)

Mixtures of Matrix-Variate Contaminated Normal Distributions. - Salvatore D. Tomarchio; Michael P. B. Gallaugher; Antonio Punzo; Paul D. McNicholas (J. Comput. Graph. Stat., 2022)

Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models. - Roberto Di Mari; Salvatore Ingrassia; Antonio Punzo (J. Classif., 2023)

Parsimonious mixtures for the analysis of tensor-variate data. - Salvatore D. Tomarchio; Antonio Punzo; Luca Bagnato (Stat. Comput., 2023)

The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO. - Luca Bagnato; Alessio Farcomeni; Antonio Punzo (Stat. Anal. Data Min., 2024)

Model-based clustering using a new multivariate skew distribution. - Salvatore D. Tomarchio; Luca Bagnato; Antonio Punzo (Adv. Data Anal. Classif., 2024)

A Laplace-based model with flexible tail behavior. - Cristina Tortora; Brian C. Franczak; Luca Bagnato; Antonio Punzo (Comput. Stat. Data Anal., 2024)

Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions. - Ryan P. Browne; Luca Bagnato; Antonio Punzo (Adv. Data Anal. Classif., 2024)

Matrix-Variate Hidden Markov Regression Models: Fixed and Random Covariates. - Salvatore D. Tomarchio; Antonio Punzo; Antonello Maruotti (J. Classif., 2024)

A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together. - Salvatore D. Tomarchio; Antonio Punzo; Johannes T. Ferreira; Andriëtte Bekker (J. Classif., 2025)

An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data. - Victor H. Lachos; Salvatore D. Tomarchio; Antonio Punzo; Salvatore Ingrassia (Stat. Comput., 2025)

Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns. - Antonio Punzo; Luca Bagnato (Adv. Data Anal. Classif., 2025)