TOMARCHIO, SALVATORE DANIELE

TOMARCHIO, SALVATORE DANIELE  

ECONOMIA E IMPRESA  

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Titolo Data di pubblicazione Autore(i) File
An application of matrix-variate mixtures to insurance data 1-gen-2021 Tomarchio, S. D.; Punzo, A.; Bagnato, L.
Clustering via new parsimonious mixtures of heavy tailed distributions 1-gen-2021 Tomarchio, S. D.; Bagnato, L.; Punzo, A.
Dichotomous unimodal compound models: application to the distribution of insurance losses 1-gen-2020 Tomarchio, S. D.; Punzo, A.
Finite mixtures of regressions with random covariates using multivariate skewed distributions 1-gen-2021 Tomarchio, S. D.; Gallaugher, M. P. B.; Punzo, A.; Mcnicholas, P. D.
Matrix Normal Cluster-Weighted Models 1-gen-2021 Tomarchio, S. D.; Mcnicholas, P. D.; Punzo, A.
Mixtures of Matrix-Variate Contaminated Normal Distributions 1-gen-2022 Tomarchio, S. D.; Gallaugher, M. P. B.; Punzo, A.; Mcnicholas, P. D.
Model-based clustering via new parsimonious mixtures of heavy-tailed distributions 1-gen-2022 Tomarchio, S. D.; Bagnato, L.; Punzo, A.
Model-based clustering via skewed matrix-variate cluster-weighted models 1-gen-2022 Gallaugher, M. P. B.; Tomarchio, S. D.; Mcnicholas, P. D.; Punzo, A.
Modelling students’ career indicators via mixtures of parsimonious matrix-normal distributions 1-gen-2022 Tomarchio, S. D.; Ingrassia, S.; Melnykov, V.
Modelling the loss given default distribution via a family of zero-and-one inflated mixture models 1-gen-2019 Tomarchio, S. D.; Punzo, A.
Multivariate cluster weighted models using skewed distributions 1-gen-2022 Gallaugher, M. P. B.; Tomarchio, S. D.; Mcnicholas, P. D.; Punzo, A.
A new mixture model for three-way data 1-gen-2020 Tomarchio, S. D.; Punzo, A.; Bagnato, L.
On Parsimonious Modelling via Matrix-variate t Mixtures 1-gen-2022 Tomarchio, S. D.
Parsimonious hidden Markov models for matrix-variate longitudinal data 1-gen-2022 Tomarchio, S. D.; Punzo, A.; Maruotti, A.
Parsimonious matrix normal mixtures: an application to university students indicators 1-gen-2020 Tomarchio, S. D.; Ingrassia, S.; Melnykov, V.
Two new matrix-variate distributions with application in model-based clustering 1-gen-2020 Tomarchio, S. D.; Punzo, A.; Bagnato, L.