Antonio Punzo

Full Professor

University of Catania

Italy

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Antonio Punzo is a Full Professor at the University of Catania, Italy. His research encompasses several areas including statistical clustering, mixture models, and data analysis, as evidenced by his recent publications on topics such as handling skewness in model-based clustering and applications in solar energy. He has also contributed to the development of statistical methodologies for matrix-variate distributions and the analysis of cryptocurrency returns.

Antonio Punzo

Research Interests

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Articles (20)

Handling skewness and directional tails in model-based clustering

Discrete mode-mixtures of unimodal positive distributions with an application to solar energy in South Africa

On the Number of Components for Matrix‐Variate Mixtures: A Comparison Among Information Criteria

Finite mixtures of multivariate skew tail-inflated normal distributions

Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns

LRDP: an R package implementing a new class of decompositions for orthogonal matrices

An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data

A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together

A refreshing take on the inverted Dirichlet via a mode parameterization with some statistical illustrations

Hidden semi-Markov models for rainfall-related insurance claims

Parsimonious mixtures for the analysis of tensor-variate data

Model-based clustering using a new multivariate skew distribution

On stylized facts of cryptocurrencies returns and their relationship with other assets, with a focus on the impact of COVID-19

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

Model-based clustering via skewed matrix-variate cluster-weighted models

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

Multiple scaled symmetric distributions in allometric studies

Parsimonious hidden Markov models for matrix-variate longitudinal data

Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models

Mixtures of Matrix-Variate Contaminated Normal Distributions

Collaborators (6)

Salvatore Ingrassia

Paul McNicholas

Roberto Di Mari

Cristina Tortora

Antonello MARUOTTI

Luca Bagnato

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