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2020 – today
- 2024
[j30]Salvatore D. Tomarchio
, Luca Bagnato, Antonio Punzo:
Model-based clustering using a new multivariate skew distribution. Adv. Data Anal. Classif. 18(1): 61-83 (2024)- [j29]Ryan P. Browne, Luca Bagnato, Antonio Punzo:
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions. Adv. Data Anal. Classif. 18(3): 597-625 (2024) - [j28]Cristina Tortora, Brian C. Franczak, Luca Bagnato, Antonio Punzo:
A Laplace-based model with flexible tail behavior. Comput. Stat. Data Anal. 192: 107909 (2024) - [j27]Luca Bagnato, Alessio Farcomeni, Antonio Punzo:
The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO. Stat. Anal. Data Min. 17(1) (2024) - 2023
- [j26]Roberto Di Mari, Salvatore Ingrassia, Antonio Punzo:
Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models. J. Classif. 40(2): 233-266 (2023) - [j25]Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato:
Parsimonious mixtures for the analysis of tensor-variate data. Stat. Comput. 33(6): 123 (2023) - 2022
- [j24]Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo:
Multivariate cluster weighted models using skewed distributions. Adv. Data Anal. Classif. 16(1): 93-124 (2022) - [j23]Michael P. B. Gallaugher, Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo:
Correction to: Multivariate cluster weighted models using skewed distributions. Adv. Data Anal. Classif. 16(4): 1097 (2022) - [j22]Salvatore D. Tomarchio, Michael P. B. Gallaugher, Antonio Punzo, Paul D. McNicholas:
Mixtures of Matrix-Variate Contaminated Normal Distributions. J. Comput. Graph. Stat. 31(1): 413-421 (2022) - [j21]Antonio Punzo, Luca Bagnato:
Dimension-wise scaled normal mixtures with application to finance and biometry. J. Multivar. Anal. 191: 105020 (2022) - [j20]Salvatore D. Tomarchio, Antonio Punzo, Antonello Maruotti:
Parsimonious hidden Markov models for matrix-variate longitudinal data. Stat. Comput. 32(3): 53 (2022) - [j19]Luca Merlo, Antonello Maruotti, Lea Petrella, Antonio Punzo:
Quantile hidden semi-Markov models for multivariate time series. Stat. Comput. 32(4): 61 (2022) - 2021
- [j18]Salvatore D. Tomarchio, Paul D. McNicholas, Antonio Punzo:
Matrix Normal Cluster-Weighted Models. J. Classif. 38(3): 556-575 (2021) - [j17]Luca Bagnato, Antonio Punzo:
Unconstrained representation of orthogonal matrices with application to common principal components. Comput. Stat. 36(2): 1177-1195 (2021) - [c3]Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato:
On the Use of the Matrix-Variate Tail-Inflated Normal Distribution for Parsimonious Mixture Modeling. SIS 2021: 407-423 - 2020
- [j16]Salvatore Ingrassia, Antonio Punzo:
Cluster Validation for Mixtures of Regressions via the Total Sum of Squares Decomposition. J. Classif. 37(2): 526-547 (2020) - [j15]Salvatore D. Tomarchio, Antonio Punzo, Luca Bagnato:
Two new matrix-variate distributions with application in model-based clustering. Comput. Stat. Data Anal. 152: 107050 (2020) - [j14]Antonio Punzo, Martin Blostein, Paul D. McNicholas:
High-dimensional unsupervised classification via parsimonious contaminated mixtures. Pattern Recognit. 98 (2020)
2010 – 2019
- 2019
- [j13]Katherine Morris, Antonio Punzo, Paul D. McNicholas, Ryan P. Browne:
Asymmetric clusters and outliers: Mixtures of multivariate contaminated shifted asymmetric Laplace distributions. Comput. Stat. Data Anal. 132: 145-166 (2019) - 2017
- [j12]Utkarsh J. Dang, Antonio Punzo, Paul D. McNicholas, Salvatore Ingrassia, Ryan P. Browne:
Multivariate Response and Parsimony for Gaussian Cluster-Weighted Models. J. Classif. 34(1): 4-34 (2017) - [j11]Antonio Punzo, Paul D. McNicholas:
Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model. J. Classif. 34(2): 249-293 (2017) - [j10]Antonello Maruotti, Antonio Punzo:
Model-based time-varying clustering of multivariate longitudinal data with covariates and outliers. Comput. Stat. Data Anal. 113: 475-496 (2017) - 2016
- [j9]Antonio Punzo, Salvatore Ingrassia:
Clustering bivariate mixed-type data via the cluster-weighted model. Comput. Stat. 31(3): 989-1013 (2016) - 2015
- [j8]Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti:
The Generalized Linear Mixed Cluster-Weighted Model. J. Classif. 32(1): 85-113 (2015) - [j7]Salvatore Ingrassia, Antonio Punzo, Giorgio Vittadini, Simona C. Minotti:
Erratum to: The Generalized Linear Mixed Cluster-Weighted Model. J. Classif. 32(2): 327-355 (2015) - [j6]Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas:
Cluster-weighted t-factor analyzers for robust model-based clustering and dimension reduction. Stat. Methods Appl. 24(4): 623-649 (2015) - 2014
- [j5]Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo:
Model-based clustering via linear cluster-weighted models. Comput. Stat. Data Anal. 71: 159-182 (2014) - [j4]Luca Bagnato, Francesca Greselin, Antonio Punzo:
On the Spectral Decomposition in Normal Discriminant Analysis. Commun. Stat. Simul. Comput. 43(6): 1471-1489 (2014) - 2013
- [j3]Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia, Paul D. McNicholas:
Clustering and classification via cluster-weighted factor analyzers. Adv. Data Anal. Classif. 7(1): 5-40 (2013) - [j2]Luca Bagnato, Antonio Punzo:
Finite mixtures of unimodal beta and gamma densities and the k-bumps algorithm. Comput. Stat. 28(4): 1571-1597 (2013) - [p2]Angelo Mazza, Antonio Punzo:
Using the Variation Coefficient for Adaptive Discrete Beta Kernel Graduation. Statistical Models for Data Analysis 2013: 225-232 - [p1]Angelo Mazza, Antonio Punzo:
Graduation by Adaptive Discrete Beta Kernels. Classification and Data Mining 2013: 243-250 - 2011
- [j1]Francesca Greselin, Salvatore Ingrassia, Antonio Punzo:
Assessing the pattern of covariance matrices via an augmentation multiple testing procedure. Stat. Methods Appl. 20(2): 141-170 (2011) - 2010
- [c2]Luca Bagnato, Antonio Punzo:
Checking Serial Independence of Residuals from a Nonlinear Model. GfKl 2010: 203-211
2000 – 2009
- 2008
- [c1]Antonio Punzo:
Considerations on the Impact of Ill-Conditioned Configurations in the CML Approach. GfKl 2008: 563-572
Coauthor Index
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last updated on 2024-10-04 21:03 CEST by the dblp team
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