NICOLUSSI, FEDERICA
 Distribuzione geografica
Continente #
EU - Europa 4.118
NA - Nord America 2.429
AS - Asia 1.337
AF - Africa 146
SA - Sud America 145
OC - Oceania 51
Continente sconosciuto - Info sul continente non disponibili 9
Totale 8.235
Nazione #
US - Stati Uniti d'America 2.258
IT - Italia 1.663
GB - Regno Unito 465
DE - Germania 358
CN - Cina 356
FR - Francia 328
IN - India 187
IE - Irlanda 164
NL - Olanda 158
IR - Iran 151
CA - Canada 144
ES - Italia 124
HK - Hong Kong 124
CH - Svizzera 121
JP - Giappone 120
BR - Brasile 85
FI - Finlandia 76
AT - Austria 74
NO - Norvegia 71
UA - Ucraina 67
CZ - Repubblica Ceca 62
RU - Federazione Russa 62
TR - Turchia 62
RO - Romania 54
AU - Australia 48
ID - Indonesia 48
SE - Svezia 41
KR - Corea 36
SG - Singapore 36
GR - Grecia 34
HU - Ungheria 33
MA - Marocco 32
ZA - Sudafrica 32
BE - Belgio 31
PT - Portogallo 30
TW - Taiwan 30
VN - Vietnam 29
DK - Danimarca 24
PL - Polonia 23
PK - Pakistan 22
EG - Egitto 21
MY - Malesia 21
TH - Thailandia 21
MX - Messico 20
IL - Israele 19
CO - Colombia 17
SA - Arabia Saudita 17
CL - Cile 16
PH - Filippine 16
DZ - Algeria 13
PE - Perù 12
RS - Serbia 12
NG - Nigeria 11
AR - Argentina 10
BG - Bulgaria 10
AE - Emirati Arabi Uniti 9
EU - Europa 9
GH - Ghana 9
LK - Sri Lanka 8
HR - Croazia 6
CI - Costa d'Avorio 5
CM - Camerun 5
LB - Libano 5
EC - Ecuador 4
LT - Lituania 4
SI - Slovenia 4
SK - Slovacchia (Repubblica Slovacca) 4
TN - Tunisia 4
UZ - Uzbekistan 4
AL - Albania 3
BF - Burkina Faso 3
CR - Costa Rica 3
EE - Estonia 3
IQ - Iraq 3
JO - Giordania 3
LU - Lussemburgo 3
MO - Macao, regione amministrativa speciale della Cina 3
NZ - Nuova Zelanda 3
BD - Bangladesh 2
BW - Botswana 2
LV - Lettonia 2
MK - Macedonia 2
PR - Porto Rico 2
SC - Seychelles 2
TG - Togo 2
UG - Uganda 2
BT - Bhutan 1
GA - Gabon 1
HN - Honduras 1
IS - Islanda 1
KE - Kenya 1
KH - Cambogia 1
KZ - Kazakistan 1
MN - Mongolia 1
MQ - Martinica 1
MT - Malta 1
QA - Qatar 1
SN - Senegal 1
VE - Venezuela 1
Totale 8.235
Città #
Milan 254
Houston 180
Fairfield 156
Dublin 152
Rome 128
Ashburn 122
Beijing 115
Ann Arbor 109
Bedford 76
Cambridge 66
Seattle 66
Buffalo 60
Los Angeles 60
Santa Cruz 57
Woodbridge 56
Naaldwijk 53
Oslo 48
Helsinki 46
Tokyo 43
New York 41
São Paulo 40
Wilmington 39
Paris 38
Atlanta 37
Southend 37
Turin 36
Central 34
Chicago 34
Oxford 34
Trento 34
London 33
San Diego 32
Bologna 30
Madrid 30
Zurich 30
Bengaluru 28
Genoa 28
Berlin 26
Florence 26
Trieste 26
Pavia 23
Bari 22
Genova 22
Hangzhou 21
Naples 21
Norwalk 21
Ottawa 21
Phoenix 21
Boardman 20
Istanbul 20
Jakarta 20
Sydney 20
Council Bluffs 19
Lausanne 19
Montpellier 18
Singapore 18
Taipei 18
Vienna 18
Amsterdam 17
Budapest 17
Cairo 17
Shanghai 17
Athens 16
Central District 16
Montreal 16
Munich 16
Nanjing 16
Göttingen 15
Ankara 14
Birmingham 14
Brescia 14
Catania 14
Dallas 14
Menlo Park 14
Modena 14
Moscow 14
Seoul 14
Stuttgart 14
Barcelona 13
Charlotte 13
Delhi 13
Dresden 13
Irving 13
Parma 13
Borehamwood 12
Bucharest 12
Changsha 12
Chennai 12
San Jose 12
Santiago 12
Shenyang 12
University Park 12
Austin 11
Duncan 11
Mountain View 11
Palermo 11
Rende 11
Santa Clara 11
Stockholm 11
Tehran 11
Totale 3.467
Nome #
Modeling provincial Covid-19 epidemic data using an adjusted time-dependent SIRD model, file dfa8b9a8-cf9c-748b-e053-3a05fe0a3a96 5.653
Gram–Charlier-Like Expansions of the Convoluted Hyperbolic-Secant Density, file dfa8b9a0-9748-748b-e053-3a05fe0a3a96 331
Value at risk and expected shortfall based on Gram-Charlier-like expansions, file dfa8b99e-765e-748b-e053-3a05fe0a3a96 211
Context-Specific Independencies in Stratified Chain Regression Graphical Models, file dfa8b9a5-0359-748b-e053-3a05fe0a3a96 211
Context-Specific independencies embedded in Chain Graph Models of type I, file dfa8b9a0-e063-748b-e053-3a05fe0a3a96 186
Context-specific independence in innovation study, file dfa8b99d-61d2-748b-e053-3a05fe0a3a96 176
Context-specific independencies in Hierarchical Multinomial Marginal models, file dfa8b9a0-2043-748b-e053-3a05fe0a3a96 172
Learning procedure for chain (stratified) graphical models, file dfa8b9a3-d450-748b-e053-3a05fe0a3a96 144
CoViD-19, learning from the past : A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region, file dfa8b9a5-f918-748b-e053-3a05fe0a3a96 142
Efficient unequal probability resampling from finite populations, file dfa8b9a8-6162-748b-e053-3a05fe0a3a96 133
Type II chain graph models for categorical data : a smooth subclass, file dfa8b99b-c78d-748b-e053-3a05fe0a3a96 132
Investigation on Life Satisfaction Through (Stratified) Chain Regression Graph Models, file dfa8b9a3-a5a8-748b-e053-3a05fe0a3a96 115
A Simplified Efficient and Direct Unequal Probability Resampling = Un semplice Ricampionamento, efficiente e diretto per campioni a probabilita variabili, file dfa8b99e-7543-748b-e053-3a05fe0a3a96 102
Monitoring emergency calls and social networks for covid-19 surveillance. To learn for the future: The outbreak experience of the lombardia region in Italy, file dfa8b9a3-1b10-748b-e053-3a05fe0a3a96 89
Modeling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model, file dfa8b9a2-bc83-748b-e053-3a05fe0a3a96 82
Are health indicators able to describe the ability to cope of Health Systems with COVID-19 epidemic?, file dfa8b9a2-df60-748b-e053-3a05fe0a3a96 80
Are Epidemiological Estimates Able to Describe the Ability of Health Systems to Cope with COVID-19 Epidemic?, file dfa8b9a7-133e-748b-e053-3a05fe0a3a96 78
Modeling provincial Covid-19 epidemic data using an adjusted time-dependent sird model, file dfa8b9a7-a090-748b-e053-3a05fe0a3a96 67
Financial applications based on Gram-Charlier expansions, file dfa8b99c-5b3d-748b-e053-3a05fe0a3a96 64
Could Emergency Calls and Twitter Activity Help to Prevent Health System Overloads Due to CoViD-19 Epidemic? Wavelets and Cross- Correlation as Useful Tools for Time-Frequency Signal Analysis: Lessons from Italian Lombardy Region, file dfa8b9a9-9e7a-748b-e053-3a05fe0a3a96 51
A Heavily Trained Time-Dependent SIRD Model for Local Covid-19 Data in Italy, file dfa8b9a9-b8bc-748b-e053-3a05fe0a3a96 40
Social application with multivariate regression chain graph models, file dfa8b99b-6820-748b-e053-3a05fe0a3a96 31
Smooth Chain Graph Model of type II: a learning procedure, file dfa8b9a4-132c-748b-e053-3a05fe0a3a96 29
Pandemic Data Quality Modelling: A Bayesian Approach = Modellazione della qualit`a dei dati pandemici: un approccio bayesiano, file 75250ba7-1257-4cc9-a596-856bcb311da8 24
Context-specific independencies for ordinal variables in chain regression models, file dfa8b99c-5b3f-748b-e053-3a05fe0a3a96 23
Context-Specific Independencies in Stratified Chain Regression Graphical Models, file dfa8b9a7-011a-748b-e053-3a05fe0a3a96 22
Joint modelling of bivariate longitudinal data : Application to the recovery of sexual function and urinary continence, file dfa8b99d-613b-748b-e053-3a05fe0a3a96 17
A smooth subclass of graphical models for chain graph : towards measuring gender gaps, file dfa8b99b-d948-748b-e053-3a05fe0a3a96 5
Context-specific independencies in Hierarchical Multinomial Marginal models, file dfa8b9a0-60f1-748b-e053-3a05fe0a3a96 5
Trivariate Burr-III copula with applications to income data, file dfa8b99b-c78a-748b-e053-3a05fe0a3a96 4
Learning procedure for chain (stratified) graphical models, file dfa8b9a0-823c-748b-e053-3a05fe0a3a96 3
Context-specific independence in innovation study, file dfa8b99b-8a0b-748b-e053-3a05fe0a3a96 2
Chain Graphical Models- a German and Hungarian Study on Poverty and Social Environment, file dfa8b99c-2a62-748b-e053-3a05fe0a3a96 2
Reshaping the Linear-Hyperbolic density by its orthogonal polynomials to embody possibly severe kurtosis and skewness, file dfa8b99d-9598-748b-e053-3a05fe0a3a96 2
Classification Through Graphical Models: Evidences From the EU-SILC Data, file dfa8b9a3-4e10-748b-e053-3a05fe0a3a96 2
Smooth Graphical models of type II: link with marginal models, file dfa8b99b-461e-748b-e053-3a05fe0a3a96 1
Study of context-specific independencies through Chain Stratified Graph Models for categorical variables, file dfa8b99b-6977-748b-e053-3a05fe0a3a96 1
Value at risk and expected shortfall based on Gram-Charlier-like expansions, file dfa8b99e-625e-748b-e053-3a05fe0a3a96 1
Totale 8.433
Categoria #
all - tutte 13.070
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 13.070


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/201942 0 0 0 0 0 0 0 0 0 6 15 21
2019/2020260 22 13 15 22 22 17 35 27 26 34 12 15
2020/2021659 31 46 20 83 40 76 61 44 46 85 62 65
2021/20223.820 63 71 51 147 116 1.466 470 257 304 298 309 268
2022/20232.302 179 222 336 260 217 158 179 129 168 176 149 129
2023/20241.304 119 116 162 154 99 125 169 143 112 105 0 0
Totale 8.433