Two new matrix-variate distributions with application in model-based clustering SD Tomarchio, A Punzo, L Bagnato Computational Statistics & Data Analysis 152, 107050, 2020 | 29 | 2020 |
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 | 26 | 2020 |
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 | 22 | 2019 |
Matrix normal cluster-weighted models SD Tomarchio, PD McNicholas, A Punzo Journal of Classification 38 (3), 556-575, 2021 | 20 | 2021 |
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 | 18 | 2022 |
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 | 10 | 2022 |
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 | 10 | 2022 |
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 | 8 | 2022 |
Parsimonious hidden markov models for matrix-variate longitudinal data SD Tomarchio, A Punzo, A Maruotti Statistics and Computing 32 (3), 1-18, 2022 | 8 | 2022 |
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 | 6 | 2022 |
Matrix-variate normal mean-variance Birnbaum–Saunders distributions and related mixture models SD Tomarchio Computational Statistics, 1-28, 2022 | 4 | 2022 |
Matrix-Variate Hidden Markov Regression Models: Fixed and Random Covariates SD Tomarchio, A Punzo, A Maruotti Journal of Classification, 1-26, 2023 | 1 | 2023 |
Parsimonious Finite Mixtures of Matrix-Variate Regressions A Punzo, SD Tomarchio Innovations in Multivariate Statistical Modeling: Navigating Theoretical and …, 2022 | 1 | 2022 |
Mixtures of regressions using matrix-variate heavy-tailed distributions SD Tomarchio, MPB Gallaugher Advances in Data Analysis and Classification, 1-28, 2024 | | 2024 |
Model-based clustering using a new multivariate skew distribution SD Tomarchio, L Bagnato, A Punzo Advances in Data Analysis and Classification 18 (1), 61-83, 2024 | | 2024 |
Parsimonious mixtures for the analysis of tensor-variate data SD Tomarchio, A Punzo, L Bagnato Statistics and Computing 33 (6), 123, 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 |
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 |