UniSa - IRIS Institutional Research Information System

GIORDANO, Francesco
 Distribuzione geografica
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Continente #
AS - Asia 17.464
NA - Nord America 7.735
EU - Europa 3.556
SA - Sud America 547
Continente sconosciuto - Info sul continente non disponibili 244
AF - Africa 85
OC - Oceania 4
Totale 29.635
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Nazione #
HK - Hong Kong 14.655
US - Stati Uniti d'America 7.597
IT - Italia 1.829
SG - Singapore 1.129
CN - Cina 805
UA - Ucraina 424
VN - Vietnam 419
BR - Brasile 418
FR - Francia 274
RU - Federazione Russa 261
DE - Germania 212
IE - Irlanda 151
FI - Finlandia 116
GB - Regno Unito 94
IN - India 81
SE - Svezia 70
TR - Turchia 67
KR - Corea 66
CA - Canada 61
AR - Argentina 53
BD - Bangladesh 45
MX - Messico 39
JP - Giappone 33
IQ - Iraq 30
NL - Olanda 29
PL - Polonia 24
ZA - Sudafrica 21
ID - Indonesia 19
PK - Pakistan 18
CO - Colombia 17
MA - Marocco 17
EC - Ecuador 13
UZ - Uzbekistan 13
VE - Venezuela 13
CR - Costa Rica 11
ES - Italia 11
AT - Austria 10
KE - Kenya 10
SA - Arabia Saudita 10
CH - Svizzera 9
PH - Filippine 9
AE - Emirati Arabi Uniti 8
DZ - Algeria 8
IL - Israele 8
UY - Uruguay 8
CL - Cile 7
PY - Paraguay 7
EG - Egitto 6
BO - Bolivia 5
ET - Etiopia 5
IR - Iran 5
MY - Malesia 5
NI - Nicaragua 5
NP - Nepal 5
PE - Perù 5
TN - Tunisia 5
CZ - Repubblica Ceca 4
JO - Giordania 4
KZ - Kazakistan 4
LB - Libano 4
RO - Romania 4
AZ - Azerbaigian 3
BG - Bulgaria 3
GT - Guatemala 3
HN - Honduras 3
LT - Lituania 3
LU - Lussemburgo 3
PA - Panama 3
RS - Serbia 3
SV - El Salvador 3
TH - Thailandia 3
AL - Albania 2
AU - Australia 2
BA - Bosnia-Erzegovina 2
BE - Belgio 2
BY - Bielorussia 2
CY - Cipro 2
EE - Estonia 2
EU - Europa 2
GR - Grecia 2
HR - Croazia 2
HU - Ungheria 2
JM - Giamaica 2
KG - Kirghizistan 2
MN - Mongolia 2
NG - Nigeria 2
NO - Norvegia 2
OM - Oman 2
PR - Porto Rico 2
PS - Palestinian Territory 2
PT - Portogallo 2
QA - Qatar 2
SN - Senegal 2
TT - Trinidad e Tobago 2
AO - Angola 1
BB - Barbados 1
BH - Bahrain 1
BJ - Benin 1
CG - Congo 1
DM - Dominica 1
Totale 29.377
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Città #
Hong Kong 14.636
Ann Arbor 1.490
San Jose 638
Singapore 587
Jacksonville 513
Chandler 489
Wilmington 472
Houston 459
Woodbridge 430
Princeton 414
Dallas 364
Milan 354
Ashburn 334
Salerno 274
Beijing 170
Rome 162
Council Bluffs 155
Dublin 146
Nanjing 124
Lauterbourg 111
Ho Chi Minh City 106
Andover 98
Dong Ket 98
The Dalles 95
Moscow 78
Hanoi 66
Pellezzano 62
Santa Clara 62
Naples 53
Munich 52
Boardman 50
Izmir 45
Redwood City 42
São Paulo 40
Dearborn 39
Los Angeles 37
Nanchang 36
Orem 36
Hebei 35
Fairfield 34
New York 34
Memphis 33
Shenyang 32
Tokyo 32
Napoli 31
Changsha 29
Norwalk 28
Jiaxing 27
Figino 26
Annecy 23
Mestre 23
Chicago 20
Frankfurt am Main 20
Guangzhou 20
Tianjin 20
Warsaw 20
Chennai 19
Jinan 19
Marcianise 19
Ottawa 19
Turin 18
Da Nang 17
Helsinki 17
Caserta 16
Fisciano 16
Washington 16
Amsterdam 15
Mexico City 15
Stockholm 15
Denver 14
Shanghai 14
Turku 14
Atlanta 13
Baghdad 13
Seattle 13
Cambridge 12
Düsseldorf 12
Montreal 12
Haiphong 11
Johannesburg 11
Nuremberg 11
Poplar 11
Tashkent 11
Boston 10
Brooklyn 10
Mumbai 10
Phoenix 10
San Diego 10
Ankara 9
Ariano Irpino 9
Basingstoke 9
Belo Horizonte 9
Brasília 9
Des Moines 9
London 9
Manchester 9
Pune 9
Rio de Janeiro 9
Castel San Lorenzo 8
Chengdu 8
Totale 24.453
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Nome #
Bootsrap variance estimates for neural networks regression models 1.337
Clustering and classification of spatio-temporal data using spatial dynamic panel data models 1.292
Clustering Complex Time Series Databases 722
Neural Networks for bandwidth selection in non-parametric derivative estimation 619
Input Variable Selection in Neural Network Models 607
Forecasting non linear time series: empirical evidences on financial data 603
A Model-Free Screening Selection Approach by Local Derivative Estimation 588
Local or global smoothing? A bandwidth selector for dependent data 510
Neural Networks and Bootstrap Methods for Regression Models with Dependent Errors 492
A locally adaptive bandwidth selector for kernel based regression 492
Local polynomial and neural network estimators for the analysis of financial data 486
Estimating the conditional Mean of a Non Linear Time Series using Neural Networks 480
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach 476
Value-at-Risk Inference with NN Sieve bootstrap 472
Un criterio di inizializzazione per reti neurali nell'analisi del trend 456
Ranking-Based Variable Selection for the Default Risk of Bank Loan Holders 456
Neural Networks in nonparametric derivative estimation 424
Testing spatial dynamic panel data models with heterogeneous spatial and regression coefficients 413
Bootstrap Variable Selection in Neural Network Regression Models 412
Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction 411
Efficient nonparametric estimation and inference for the volatility function 406
Processi Stocastici ed Inferenza Statistica 393
Estimating smooth functions of sample mean in diffusion processes: a MBB approach 391
A comment on "An analysis of global warming in the Alpine Region based on nonlinear nonstationary time series nodels" by F. Battaglia and M.K. Protopapas 385
Clustering and Testing Financial Asset Returns Using the Spatial Dynamic Panel Data Model 354
Bootstrap Variable Selection in Neural Network Regression Models 351
Estimation the asymptotic variance of kernel smoothers for dependent data 343
Bootstrap prediction intervals with neural networks in nonlinear time series 338
Neural network sieve bootstrap for nonlinear time series 322
Le reti neurali per la previsione di serie storiche: aspetti metodologici ed evidenze empiriche su dati idrologici 288
Industrial District in the South of Italy AREA (LLMA): Method and First results 277
Local Polynomials for Variable Selection 270
A Variable Selection Method for High-Dimensional Survival Data 266
Unit Root Testing in Presence of a Double Threshold Process 253
Variable Selection in Estimating Bank Default 246
Multiple Testing for Different Structures of Spatial Dynamic Panel Data Models 242
A new procedure for variable selection in presence of rare events 239
A modified Conditional Least Squares estimator for parameters in a class of bilinear models 227
Probabilistic properties of Self Exciting Threshold Autoregressive processes. 226
GRID: A Variable selection and structure discovery method for high dimensional nonparametric regression 223
Screening covariates in presence of unbalanced binary dependent variable 219
The Univariate Distribution function for a particular Bilinear Model 217
Linear and nonlinear effects explaining the risk of Covid-19 infection: an empirical analysis on real data from the USA 216
Financial Time Series Classification by Nonparametric Trend Estimation 216
Parametric and Non-parametric methods in non-linear time series analysis: a critical evaluation 212
STRUCTURE DISCOVERING IN NONPARAMETRIC REGRESSION BY THE GRID PROCEDURE 208
Bootstrap variable selection in neural network regression models 202
A nonparametric approach for nonlinear variable screening in high-dimensions 202
Clustering complex time-series databases by using periodic components 200
Neural networks as Series estimators: A Statistical Interpretation of the Hidden Layer Size 196
On the estimation in continuous limit of GARCH processes 196
Bias-corrected inference for multivariate nonparametric regression: Model selection and oracle property 193
A simulation study for the evaluation of the seasonal adjustment and forecasting performances of the TESS system 191
Detecting cycles in Complex Time Series Databases 184
Weak Consistent Moving Block Bootstrap of sampling distribution of CLS Estimators in a class of bilinear models 183
Statistical modelling of complex time series 179
Linear approximation of nonlinear threshold models 178
TESTING DIFFERENT STRUCTURES OF SPATIAL DYNAMIC PANEL DATA MODELS 174
“Industrial District in the South of Italy. A new databank for the analysis of the Local Labour Market” 171
Bootstrap Variance Estimates for Neurl Networks Regression Models 167
Properties of the neural network sieve bootstrap 162
Bootstrap Prediction Intervals with Neural Networks in Nonlinear Time Series 160
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence 160
Neural Network Sieve Bootstrap For Resampling Hydrological Time Series 159
Campionamento e questionario 159
Variable ranking and data reduction in GLM domain 158
Detecting Short-Term Cycles in Complex Time Series Databases 158
Le reti neurali artificiali nell'analisi delle serie storiche 157
Proprietà asintotiche degli stimatori neurali nel modello di regressione non parametrico 156
Neural Network Sieve Bootstrap for Nonlinear Time Series 153
NEURAL NETWORKS FOR BANDWIDTH SELECTION IN LOCAL LINEAR REGRESSION FOR TIME SERIES 152
The Univariate Distribution function for a particular Bilinear Model 150
Threshold random walk structures in finance 149
Macroeconomic Time Series Classification by Nonparametric Trend Estimation 148
Osservatorio sulle imprese della provincia di Salerno: una nuova banca dati per l'analisi dei sistemi locali del lavoro, metodi e primi risultati 148
Nonparametric estimation of volatility functions: Some experimental evidences 148
Kernel based methods for volatility modelling: the problem of bandwidth selection 146
Standard error estimation in neural network regression models: the moving block bootstrap approach 142
Parameter estimation in continuous stochastic volatility models 142
Periodical feature based time series clustering 137
Ranking-Based Variable Selection for ultra-high dimensional data in GLM framework 136
Global adaptive smoothing regression 133
CLS asymptotic variance for a particular relevant bilinear time series model 132
A two-step adaptive bandwidth selector for kernel based regression of dependent data 130
Local Polynomial estimators vs Neural Networks: some empirical evidences 128
Bootstrap prediction intervals for weighted TAR predictors 128
Parametric and npn-parametric methods in non linear time series analysis: a critical evaluation 127
Variable selection and classification by the GRIDprocedure 127
A note on the linear approximation of TAR models 126
Clustering nonlinear time series with neural network bootstrap forecast distributions 126
On the stationarity of the Threshold Autoregressive process: the two regimes case 125
A nonparametric procedure for linear and nonlinear variable screening 125
Testing Clusters of Locations in Spatial Dynamic Panel Data models 124
Forecasting nonlinear time series with neural network sieve bootstrap 124
Neural network sieve bootstrap for nonlinear time series 124
GRID for variable selection in high dimensional regression 123
The hidden layer size in feed-forward neural networks: a statistical point of view 122
Clustering production indexes for construction with forecast distributions 121
Industrial District in the South of Italy AREA (LLMA): Method and First results. 119
Moving Block Bootstrap for a Class of Bilinear Models 119
Totale 27.255
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Categoria #
all - tutte 64.145
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 64.145
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022858 0 17 19 27 29 19 16 64 99 111 112 345
2022/20231.157 130 74 23 155 125 272 3 109 174 1 57 34
2023/2024555 55 64 31 46 49 70 31 37 10 22 25 115
2024/20251.379 61 47 62 39 36 135 178 114 153 53 163 338
2025/202619.483 2.009 7.724 5.661 399 609 312 871 183 305 645 154 611
2026/2027248 210 38 0 0 0 0 0 0 0 0 0 0
Totale 29.635