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Antonio Punzo

Full Professor

University of Catania

Italy

Research Interests

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About

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.

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Collaborators (10)

Salvatore Ingrassia

Professore Ordinario

Università degli Studi di Napoli Federico II

ITALY

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Arno Otto

University of Pretoria

SOUTH AFRICA

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Paul McNicholas

Professor

McMaster University

CANADA

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Andriette Bekker

Professor & Head of Department of Statistics

University of Pretoria

SOUTH AFRICA

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Roberto Di Mari

Assistant Professor of Statistics

Università degli Studi di Bari Aldo Moro Dipartimento di Economia e Finanza

ITALY

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Johannes Ferreira

Professor

University of Witwatersrand

SOUTH AFRICA

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Cristina Tortora

Full Professor

San Jose State University

UNITED STATES

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Victor H. Lachos

UNITED STATES

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Antonello MARUOTTI

Full Professor in Statistics

Libera Università Maria Santissima Assunta

ITALY

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Luca Bagnato

Università Cattolica del Sacro Cuore

ITALY

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Antonio Punzo

Research Interests

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About

Articles (28)

Model-Based Clustering via Parsimonious Mixtures of Dimension-Wise Scaled Normal Mixtures

Power Fuzzy Clustering: Flexible Distance Metrics and Inclusion of Covariates

Skew Dimension-Wise Scaled Mixtures of Normal Distributions and Their Applications in Model-Based Clustering

Clustering data with values missing at random using scale mixtures of multivariate skew-normal distributions

Heckman Selection-Contaminated Normal Model

Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model

Using Matrix-Variate Hidden Markov Regressions for Analyzing Crime Data

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

Designing unsupervised mixed‐type feature selection techniques using the heterogeneous correlation matrix

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 (10)

Salvatore Ingrassia

Arno Otto

Paul McNicholas

Andriette Bekker

Roberto Di Mari

Johannes Ferreira

Cristina Tortora

Victor H. Lachos

Antonello MARUOTTI

Luca Bagnato

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