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Salvatore Daniele Tomarchio
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Two new matrix-variate distributions with application in model-based clustering
SD Tomarchio, A Punzo, L Bagnato
Computational Statistics & Data Analysis 152, 107050, 2020
272020
Modelling the loss given default distribution via a family of zero‐and‐one inflated mixture models
SD Tomarchio, A Punzo
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2019
222019
Dichotomous unimodal compound models: application to the distribution of insurance losses
SD Tomarchio, A Punzo
Journal of Applied Statistics 47 (13-15), 2328-2353, 2020
212020
Matrix normal cluster-weighted models
SD Tomarchio, PD McNicholas, A Punzo
Journal of Classification 38 (3), 556-575, 2021
182021
Mixtures of matrix-variate contaminated normal distributions
SD Tomarchio, MPB Gallaugher, A Punzo, PD McNicholas
Journal of Computational and Graphical Statistics 31 (2), 413-421, 2022
172022
Model-based clustering via new parsimonious mixtures of heavy-tailed distributions
SD Tomarchio, L Bagnato, A Punzo
AStA Advances in Statistical Analysis 106 (2), 315–347, 2022
92022
Multivariate cluster weighted models using skewed distributions
MPB Gallaugher, SD Tomarchio, PD McNicholas, A Punzo
Advances in Data Analysis and Classification 16 (1), 93-124, 2022
92022
Parsimonious hidden markov models for matrix-variate longitudinal data
SD Tomarchio, A Punzo, A Maruotti
Statistics and Computing 32 (3), 1-18, 2022
72022
Model-based clustering via skewed matrix-variate cluster-weighted models
MPB Gallaugher, SD Tomarchio, PD McNicholas, A Punzo
Journal of Statistical Computation and Simulation 92 (13), 2645–2666, 2022
62022
Modelling students’ career indicators via mixtures of parsimonious matrix‐normal distributions
SD Tomarchio, S Ingrassia, V Melnykov
Australian & New Zealand Journal of Statistics 64 (2), 117-132, 2022
62022
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models
SD Tomarchio
Computational Statistics, 1-28, 2022
32022
Parsimonious mixtures for the analysis of tensor-variate data
SD Tomarchio, A Punzo, L Bagnato
Statistics and Computing 33 (6), 123, 2023
2023
Model-based clustering using a new multivariate skew distribution
SD Tomarchio, L Bagnato, A Punzo
Advances in Data Analysis and Classification, 1-23, 2023
2023
Matrix-Variate Hidden Markov Regression Models: Fixed and Random Covariates
SD Tomarchio, A Punzo, A Maruotti
Journal of Classification, 1-26, 2023
2023
On the Use of the Matrix-Variate Tail-Inflated Normal Distribution for Parsimonious Mixture Modeling
SD Tomarchio, A Punzo, L Bagnato
Studies in Theoretical and Applied Statistics: SIS 2021, Pisa, Italy, June …, 2023
2023
Parsimonious Finite Mixtures of Matrix-Variate Regressions
A Punzo, SD Tomarchio
Innovations in Multivariate Statistical Modeling: Navigating Theoretical and …, 2022
2022
On Parsimonious Modelling via Matrix-Variate t Mixtures
SD Tomarchio
Conference of the International Federation of Classification Societies, 393-401, 2022
2022
Parsimonious Mixtures of Matrix-Variate Shifted Exponential Normal Distributions
SD Tomarchio, L Bagnato, A Punzo
Scientific Meeting of the Classification and Data Analysis Group of the …, 2021
2021
An application of matrix-variate mixtures to insurance data
SD Tomarchio, A Punzo, L Bagnato
Models and Learning for Clustering and Classification, 57, 2021
2021
PARSIMONIOUS MATRIX NORMAL MIXTURES: AN APPLICATION TO UNIVERSITY STUDENTS INDICATORS
SD Tomarchio, S Ingrassia, V Melnykov
BOOK OF ABSTRACTS, 41, 2020
2020
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