IRIS
TOMARCHIO, SALVATORE DANIELE
 Distribuzione geografica
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Continente #
NA - Nord America 284
EU - Europa 171
AF - Africa 41
AS - Asia 17
OC - Oceania 1
Totale 514
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Nazione #
US - Stati Uniti d'America 282
IT - Italia 69
IE - Irlanda 58
SN - Senegal 32
FI - Finlandia 14
FR - Francia 11
IN - India 8
NG - Nigeria 8
RU - Federazione Russa 6
GB - Regno Unito 4
PK - Pakistan 3
SG - Singapore 3
CA - Canada 2
DE - Germania 2
AE - Emirati Arabi Uniti 1
CI - Costa d'Avorio 1
CN - Cina 1
CZ - Repubblica Ceca 1
DK - Danimarca 1
IM - Isola di Man 1
NL - Olanda 1
NP - Nepal 1
NZ - Nuova Zelanda 1
PL - Polonia 1
SE - Svezia 1
UA - Ucraina 1
Totale 514
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Città #
Chandler 139
Dublin 58
Dakar 32
Ashburn 21
Catania 17
Helsinki 13
Cambridge 9
Lawrence 9
Abuja 8
Delhi 6
Modica 6
Andover 5
Los Angeles 5
Boardman 4
Des Moines 4
Milan 4
Lamézia 3
Naples 3
Turin 3
Bologna 2
Moscow 2
New York 2
Pune 2
Rome 2
San Gregorio di Catania 2
Washington 2
Wilmington 2
Abidjan 1
Amsterdam 1
Augusta 1
Bari 1
Boydton 1
Cairate 1
Castel Bolognese 1
Copenhagen 1
Dallas 1
Douglas 1
Dubai 1
Hanover 1
Kathmandu 1
Kilburn 1
Lappeenranta 1
Linguaglossa 1
Mascalucia 1
Nuremberg 1
Pagliara 1
Paris 1
Prague 1
Ramacca 1
Redwood City 1
Rometta 1
Saint Petersburg 1
Sarno 1
Seattle 1
Singapore 1
Stockholm 1
Syracuse 1
Toronto 1
Tulsa 1
Wandsworth 1
Warsaw 1
Totale 399
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Nome #
Modelling the loss given default distribution via a family of zero-and-one inflated mixture models 49
A new mixture model for three-way data 39
Two new matrix-variate distributions with application in model-based clustering 35
Model-based clustering via skewed matrix-variate cluster-weighted models 34
Dichotomous unimodal compound models: application to the distribution of insurance losses 33
An application of matrix-variate mixtures to insurance data 31
Multivariate cluster weighted models using skewed distributions 31
Model-based clustering via new parsimonious mixtures of heavy-tailed distributions 29
Modelling students’ career indicators via mixtures of parsimonious matrix-normal distributions 28
Mixtures of Matrix-Variate Contaminated Normal Distributions 28
Clustering via new parsimonious mixtures of heavy tailed distributions 28
Finite mixtures of regressions with random covariates using multivariate skewed distributions 27
On Parsimonious Modelling via Matrix-variate t Mixtures 26
Matrix Normal Cluster-Weighted Models 23
Parsimonious matrix normal mixtures: an application to university students indicators 22
Parsimonious hidden Markov models for matrix-variate longitudinal data 17
Model-based clustering using a new multivariate skew distribution. 9
Matrix-Variate Hidden Markov Regression Models: Fixed and Random Covariates 9
Matrix-variate hidden Markov regressions 8
Hidden Markov models for four-way data 6
Parsimonious mixtures for the analysis of tensor-variate data 6
Model-based clustering for tensor-variate data 5
Model-based clustering via parsimonious mixtures of dimension-wise scaled normal mixtures 5
Mixture models for heavy-tailed tensor-variate data 4
Matrix-variate normal mean-variance Birnbaum-Saunders distributions and related mixture models. 4
On the Use of the Matrix-Variate Tail-Inflated Normal Distribution for Parsimonious Mixture Modeling 4
Parsimonious Mixtures of Matrix-Variate Shifted Exponential Normal Distributions 3
Robust matrix-variate mixtures of regressions 2
Parsimonious finite mixtures of matrix-variate regressions 2
Totale 547
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Categoria #
all - tutte 2.232
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 2.232
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20207 0 0 0 0 1 2 2 1 0 0 1 0
2020/202113 0 0 1 0 3 1 5 1 0 0 1 1
2021/202244 0 4 0 2 4 0 9 3 7 2 1 12
2022/2023338 10 41 27 41 18 45 1 73 53 1 9 19
2023/2024145 6 14 28 20 12 22 5 6 0 32 0 0
Totale 547