A. Punzo

发表

Testing Serial Independence via Density-Based Measures of Divergence

L. Bagnato, L. De Capitani, A. Punzo, 2014 .

The multivariate leptokurtic‐normal distribution and its application in model‐based clustering

L. Bagnato, A. Punzo, M. G. Zoia, 2017 .

Hypothesis Testing for Mixture Model Selection

Ryan P. Browne, P. McNicholas, A. Punzo, 2016 .

Hypothesis Testing for Parsimonious Gaussian Mixture Models

Ryan P. Browne, P. McNicholas, A. Punzo, 2014, 1405.0377.

Flexible mixture modelling with the polynomial Gaussian cluster-weighted model

A. Punzo, 2012, 1207.0939.

A More Informative Approach to Compare Scedasticity under the Assumption of Multivariate Normality

S. Ingrassia, A. Punzo, F. Greselin, 2009 .

Discrete approximations of continuous and mixed measures on a compact interval

Antonio Punzo, A. Punzo, A. Zini, 2012 .

Hidden Markov and Semi-Markov Models with Multivariate Leptokurtic-Normal Components for Robust Modeling of Daily Returns Series

A. Maruotti, L. Bagnato, A. Punzo, 2018, Journal of Financial Econometrics.

Allometric analysis using the multivariate shifted exponential normal distribution

L. Bagnato, A. Punzo, 2020, Biometrical journal. Biometrische Zeitschrift.

Dichotomous unimodal compound models: application to the distribution of insurance losses

A. Punzo, S. Tomarchio, 2020, Journal of applied statistics.

Modeling Return to Education in Heterogeneous Populations: An Application to Italy

Salvatore Ingrassia, Antonio Punzo, Angelo Mazza, 2017, Statistical Learning of Complex Data.

Covariate measurement error in generalized linear models for longitudinal data : a latent Markov approach

A. Maruotti, A. Punzo, R. D. Mari, 2018 .

1 4 Ju l 2 01 7 A new look at the inverse Gaussian distribution

A. Punzo, 2017 .

A Random-covariate Approach for Distal Outcome Prediction with Latent Class Analysis

A. Punzo, Roberto Di Mari, Z. Bakk, 2020, Structural Equation Modeling: A Multidisciplinary Journal.

Cluster-weighted latent class modeling

A. Punzo, R. D. Mari, Z. Bakk, 2018, 1801.01464.

Leptokurtic moment-parameterized elliptically contoured distributions with application to financial stock returns

L. Bagnato, A. Punzo, M. G. Zoia, 2020, Communications in Statistics - Theory and Methods.

Modelling the loss given default distribution via a family of zero‐and‐one inflated mixture models

Antonio Punzo, Salvatore D. Tomarchio, A. Punzo, 2019, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Modeling Household Income with Contaminated Unimodal Distributions

Antonio Punzo, Angelo Mazza, A. Punzo, 2019, New Statistical Developments in Data Science.

Cervical spinal demyelination with ethidium bromide impairs respiratory (phrenic) activity and forelimb motor behavior in rats

I. Duncan, A. Punzo, R. A. Johnson, 2013, Neuroscience.

Migrants settlement patterns in the city of Catania

A. Punzo, A. Mazza, 2015 .

Rasch analysis for binary data with nonignorable nonresponses

A. Punzo, L. Bertoli-Barsotti, 2013 .

On kernel smoothing in polytomous IRT: a new minimum distance estimator

A. Punzo, 2009 .

Outlier Detection via Parsimonious Mixtures of Contaminated Gaussian Distributions

P. McNicholas, A. Punzo, 2013 .

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

L. Bagnato, A. Punzo, 2022, J. Multivar. Anal..

7,8-dihydroxyflavone exhibits therapeutic efficacy in a mouse model of Rett syndrome.

A. Punzo, Hongda Li, Q. Chang, 2012, Journal of applied physiology.

The autodependogram: a graphical device to investigate serial dependences

L. Bagnato, A. Punzo, O. Nicolis, 2012 .

Quantile hidden semi-Markov models for multivariate time series

A. Maruotti, L. Petrella, A. Punzo, 2022, Statistics and Computing.

Robust Asymmetric Clustering

Ryan P. Browne, P. McNicholas, A. Punzo, 2014 .

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

A. Maruotti, A. Punzo, Alessandro Cremaschini, 2022, Applied Economics.

Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns

L. Bagnato, A. Punzo, 2022, 2209.12848.

Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models

Ryan P. Browne, P. McNicholas, S. Ingrassia, 2017, Journal of Classification.

The Generalized Linear Mixed Cluster-Weighted Model

S. Ingrassia, A. Punzo, G. Vittadini, 2015, Journal of Classification.

Detecting serial dependencies with the reproducibility probability autodependogram

L. Bagnato, L. De Capitani, A. Punzo, 2013, AStA Advances in Statistical Analysis.

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

P. McNicholas, A. Punzo, 2017, Journal of Classification.

Model-based clustering via new parsimonious mixtures of heavy-tailed distributions

L. Bagnato, A. Punzo, S. Tomarchio, 2022, AStA Advances in Statistical Analysis.

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

S. Ingrassia, A. Punzo, 2019, Journal of Classification.

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

S. Ingrassia, A. Punzo, 2015, Computational Statistics.

Mixtures of multivariate contaminated normal regression models

A. Punzo, A. Mazza, 2017, Statistical Papers.

Mathematical formulation of the model. Deliverable 2.2. Integrated Planning of Multi-Energy Systems (PlaMES)

A. Punzo, M. Monaci, L. Böttcher, 2020 .

Multivariate hidden Markov regression models: random covariates and heavy-tailed distributions

S. Ingrassia, A. Maruotti, A. Punzo, 2019, Statistical Papers.

Estimation of relative growth rate of ten field-grown herbaceous species: the effects of LAR and NAR depend on time scale and type of analysis.

A. Punzo, C. Vitale, S. Ascione, 2012 .

Testing Serial Independence via Density-Based Measures of Divergence

L. Bagnato, L. De Capitani, A. Punzo, 2013, Methodology and Computing in Applied Probability.

Discrete approximations of continuous and mixed measures on a compact interval

A. Punzo, A. Zini, 2011, Statistical Papers.

Bivariate discrete beta Kernel graduation of mortality data

A. Punzo, A. Mazza, 2014, Lifetime Data Analysis.

Clustering and classification via cluster-weighted factor analyzers

P. McNicholas, S. Ingrassia, A. Punzo, 2013, Advances in Data Analysis and Classification.

Multivariate cluster weighted models using skewed distributions

P. McNicholas, A. Punzo, M. Gallaugher, 2021, Advances in Data Analysis and Classification.

On the Use of the Sub-Gaussian $$\alpha $$α-Stable Distribution in the Cluster-Weighted Model

S. Ingrassia, A. Punzo, A. Mohammadpour, 2019 .

Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models

Ryan P. Browne, Paul D. McNicholas, Utkarsh J. Dang, 2014, Journal of Classification.

Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies

A. Maruotti, A. Punzo, 2021, International Statistical Review.

Compound unimodal distributions for insurance losses

Antonello Maruotti, Antonio Punzo, Luca Bagnato, 2017, Insurance: Mathematics and Economics.

Clustering Multivariate Longitudinal Observations: The Contaminated Gaussian Hidden Markov Model

A. Maruotti, A. Punzo, 2016 .

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

Salvatore Ingrassia, Antonio Punzo, Francesca Greselin, 2011, Stat. Methods Appl..

Finite mixtures of unimodal beta and gamma densities and the \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\end{d

Antonio Punzo, Luca Bagnato, L. Bagnato, 2012, Computational Statistics.

Modeling distributions on a bounded support via finite mixtures of mode-parameterized beta and gamma densities

L. Bagnato, A. Punzo, 2011 .

A time-dependent extension of the projected normal regression model for longitudinal circular data based on a hidden Markov heterogeneity structure

Antonello Maruotti, Gianluca Mastrantonio, Antonio Punzo, 2016, Stochastic Environmental Research and Risk Assessment.

Erratum to: The Generalized Linear Mixed Cluster-Weighted Model

Giorgio Vittadini, Salvatore Ingrassia, Antonio Punzo, 2015, Journal of Classification.

KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory

Antonio Punzo, Angelo Mazza, Brian McGuire, 2012, 1211.1183.

ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions

Paul D. McNicholas, Antonio Punzo, Angelo Mazza, 2016, 1606.03766.

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

Paul D. McNicholas, Antonio Punzo, P. McNicholas, 2014, J. Classif..

Multiple scaled contaminated normal distribution and its application in clustering

A. Punzo, C. Tortora, 2018, 1810.08918.

Parsimonious mixtures of multivariate contaminated normal distributions

P. McNicholas, A. Punzo, 2013, Biometrical journal. Biometrische Zeitschrift.

Testing for Serial Independence: Beyond the Portmanteau Approach

L. Bagnato, L. De Capitani, A. Punzo, 2018 .

Detecting serial dependencies with the reproducibility probability autodependogram

L. Bagnato, L. De Capitani, A. Punzo, 2014 .

SDD: An R package for Serial Dependence Diagrams

Antonio Punzo, Luca Bagnato, Lucio De Capitani, 2015 .

Improving the autodependogram using the Kulback-Leibler divergence

L. Bagnato, A. Punzo, L. D. Capitani, 2013, 1306.5006.

Using the Autodependogram in Model Diagnostic Checking

Antonio Punzo, Luca Bagnato, L. Bagnato, 2013 .

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

Luca Bagnato, Salvatore D. Tomarchio, Antonio Punzo, 2020, Comput. Stat. Data Anal..

Matrix Normal Cluster-Weighted Models

Paul D. McNicholas, Antonio Punzo, Salvatore D. Tomarchio, 2021, Journal of Classification.

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

Salvatore Ingrassia, Antonio Punzo, S. Ingrassia, 2020, J. Classif..

flexCWM: A Flexible Framework for Cluster-Weighted Models

Salvatore Ingrassia, Antonio Punzo, Angelo Mazza, 2018 .

Multivariate generalized hidden Markov regression models with random covariates: Physical exercise in an elderly population

Salvatore Ingrassia, Antonello Maruotti, Antonio Punzo, 2018, Statistics in medicine.

Fitting insurance and economic data with outliers: a flexible approach based on finite mixtures of contaminated gamma distributions

Antonello Maruotti, Antonio Punzo, Angelo Mazza, 2018 .

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

Antonello Maruotti, Antonio Punzo, A. Maruotti, 2017, Comput. Stat. Data Anal..

Multilevel cluster-weighted models for the evaluation of hospitals

Giorgio Vittadini, Salvatore Ingrassia, Antonio Punzo, 2016 .

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

Salvatore Ingrassia, Antonio Punzo, S. Ingrassia, 2016, Comput. Stat..

Decision boundaries for mixtures of regressions

Salvatore Ingrassia, Antonio Punzo, S. Ingrassia, 2016 .

The Generalized Linear Mixed Cluster-Weighted Model

Giorgio Vittadini, Salvatore Ingrassia, Antonio Punzo, 2015, Journal of Classification.

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

Paul D. McNicholas, Salvatore Ingrassia, Antonio Punzo, 2015, Stat. Methods Appl..

Parsimonious Generalized Linear Gaussian Cluster-Weighted Models

Salvatore Ingrassia, Antonio Punzo, S. Ingrassia, 2015 .

DBKGrad: An R Package for Mortality Rates Graduation by Discrete Beta Kernel Techniques

Antonio Punzo, Angelo Mazza, A. Punzo, 2014 .

Model-based clustering via linear cluster-weighted models

Salvatore Ingrassia, Antonio Punzo, Simona C. Minotti, 2012, Comput. Stat. Data Anal..

Clustering and classification via cluster-weighted factor analyzers

Paul D. McNicholas, Salvatore Ingrassia, Antonio Punzo, 2012, Advances in Data Analysis and Classification.

Graduation by Adaptive Discrete Beta Kernels

Antonio Punzo, Angelo Mazza, A. Punzo, 2013, Classification and Data Mining.

Discrete Beta-Type Models

Antonio Punzo, A. Punzo, 2010 .

Dealing with omitted answers in a survey on social integration of immigrants in Italy

A. Punzo, A. Mazza, 2017 .

Robust Model-Based Clustering of Voting Records

P. McNicholas, A. Punzo, Yang Tang, 2018, 1805.04203.

Remarks on the Existence of CML Estimates for the PCM by means of the R Package eRm

Antonio Punzo, A. Punzo, 2008 .

On the Upward Bias of the Dissimilarity Index and Its Corrections

Antonio Punzo, Angelo Mazza, A. Punzo, 2015 .

Item Analysis of a Selected Bank from the Voluntary HIV-1 Counseling and Testing Efficacy Study Group

Antonio Punzo, Lucio Bertoli Barsotti, A. Punzo, 2010 .

Model-based clustering using a new multivariate skew distribution

L. Bagnato, A. Punzo, S. Tomarchio, 2023, Advances in Data Analysis and Classification.

Multivariate cluster weighted models using skewed distributions

Paul D. McNicholas, Antonio Punzo, Michael P.B. Gallaugher, 2021, Adv. Data Anal. Classif..

Robust model-based clustering with mild and gross outliers

Alessio Farcomeni, Antonio Punzo, A. Farcomeni, 2019, TEST.

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

Ryan P. Browne, Paul D. McNicholas, Antonio Punzo, 2014, Comput. Stat. Data Anal..

Requirements for Integrated Planning of Multi-Energy Systems

Daniele Vigo, Michele Monaci, Umberto Desideri, 2020, 2020 6th IEEE International Energy Conference (ENERGYCon).

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

S. Ingrassia, A. Punzo, Roberto Di Mari, 2023, Journal of Classification.

The multivariate tail-inflated normal distribution and its application in finance

L. Bagnato, A. Punzo, 2020, 2006.12180.

Mixtures of multivariate contaminated normal regression models

A. Punzo, A. Mazza, 2020 .

Multivariate hidden Markov regression models: random covariates and heavy-tailed distributions

Salvatore Ingrassia, Antonello Maruotti, Antonio Punzo, 2019 .

High-dimensional unsupervised classification via parsimonious contaminated mixtures

Paul D. McNicholas, Antonio Punzo, Martin Blostein, 2014, Pattern Recognit..

Robust High-Dimensional Modeling with the Contaminated Gaussian Distribution

P. McNicholas, A. Punzo, 2014 .

On the Spectral Decomposition in Normal Discriminant Analysis

Antonio Punzo, Luca Bagnato, Francesca Greselin, 2014, Commun. Stat. Simul. Comput..

Generalized Linear Gaussian Cluster-Weighted Modeling

Giorgio Vittadini, Salvatore Ingrassia, Antonio Punzo, 2012, 1211.1171.

Mixtures of Matrix-Variate Contaminated Normal Distributions

P. McNicholas, A. Punzo, M. Gallaugher, 2021, J. Comput. Graph. Stat..

Assessing Measurement Invariance for Longitudinal Data through Latent Markov Models

A. Farcomeni, A. Punzo, Francesco Dotto, 2021, Structural Equation Modeling: A Multidisciplinary Journal.

A new look at the inverse Gaussian distribution with applications to insurance and economic data

Antonio Punzo, A. Punzo, 2017, Journal of Applied Statistics.

DBKGrad: An R Package for Mortality Rates Graduation by Fixed and Adaptive Discrete Beta Kernel Techniques

A. Punzo, A. Mazza, 2012, 1211.1184.

Uncovering a generalised gamma distribution: from shape to interpretation

A. Punzo, M. Arashi, A. Bekker, 2023, 2308.11332.

Model-based clustering via new parsimonious mixtures of heavy-tailed distributions

L. Bagnato, A. Punzo, S. Tomarchio, 2022, AStA Advances in Statistical Analysis.

Evaluating citizens' satisfaction on the urban environmental management through a multi-criteria approach: An application experience in Sicily

A. Punzo, C. Ingrao, Agata Matarazzo, 2023, Environmental Impact Assessment Review.

Multilevel cluster-weighted models for the evaluation of hospitals

S. Ingrassia, A. Punzo, G. Vittadini, 2016, METRON.

Bivariate discrete beta Kernel graduation of mortality data

Antonio Punzo, Angelo Mazza, A. Punzo, 2015, Lifetime data analysis.

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

Antonio Punzo, A. Punzo, 2008, GfKl.

Uncovering a generalised gamma distribution: from shape to interpretation

A. Punzo, M. Arashi, A. Bekker, 2023, 2308.11332.

Closed Likelihood Ratio Testing Procedures to Assess Similarity of Covariance Matrices

Antonio Punzo, Francesca Greselin, A. Punzo, 2012 .

Women and insurance pricing policies: a gender-based analysis with GAMLSS on two actuarial datasets

A. Punzo, B. Torrisi, Giuseppe Pernagallo, 2024, Scientific reports.

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

A. Punzo, J. Ferreira, S. Tomarchio, 2024, Journal of Classification.