GIORDANO, Francesco
 Distribuzione geografica
Continente #
AS - Asia 17.396
NA - Nord America 7.602
EU - Europa 3.544
SA - Sud America 547
AF - Africa 85
OC - Oceania 4
Continente sconosciuto - Info sul continente non disponibili 2
Totale 29.180
Nazione #
HK - Hong Kong 14.636
US - Stati Uniti d'America 7.490
IT - Italia 1.817
SG - Singapore 1.113
CN - Cina 774
UA - Ucraina 424
BR - Brasile 418
VN - Vietnam 417
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
AR - Argentina 53
CA - Canada 52
BD - Bangladesh 45
MX - Messico 35
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
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
CR - Costa Rica 7
PY - Paraguay 7
EG - Egitto 6
BO - Bolivia 5
ET - Etiopia 5
IR - Iran 5
MY - Malesia 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
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
NI - Nicaragua 2
NO - Norvegia 2
OM - Oman 2
PS - Palestinian Territory 2
PT - Portogallo 2
QA - Qatar 2
SN - Senegal 2
AO - Angola 1
BH - Bahrain 1
BJ - Benin 1
CG - Congo 1
DM - Dominica 1
DO - Repubblica Dominicana 1
GA - Gabon 1
GD - Grenada 1
GH - Ghana 1
Totale 29.166
Città #
Hong Kong 14.618
Ann Arbor 1.490
San Jose 637
Singapore 575
Jacksonville 511
Chandler 489
Wilmington 472
Houston 458
Woodbridge 430
Princeton 414
Dallas 364
Milan 354
Ashburn 330
Salerno 274
Rome 162
Council Bluffs 155
Dublin 146
Beijing 140
Nanjing 124
Lauterbourg 111
Ho Chi Minh City 105
Andover 98
Dong Ket 98
The Dalles 95
Moscow 78
Hanoi 66
Pellezzano 62
Munich 52
Boardman 50
Naples 49
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
Santa Clara 33
Shenyang 32
Tokyo 32
Napoli 31
Changsha 29
Norwalk 28
Jiaxing 27
Figino 26
Annecy 23
Mestre 23
Frankfurt am Main 20
Guangzhou 20
Tianjin 20
Warsaw 20
Chennai 19
Jinan 19
Marcianise 19
Ottawa 19
Chicago 17
Da Nang 17
Helsinki 17
Turin 17
Caserta 16
Fisciano 16
Amsterdam 15
Stockholm 15
Washington 15
Turku 14
Baghdad 13
Denver 13
Seattle 13
Shanghai 13
Atlanta 12
Cambridge 12
Düsseldorf 12
Haiphong 11
Johannesburg 11
Mexico City 11
Nuremberg 11
Poplar 11
Tashkent 11
Boston 10
Montreal 10
Mumbai 10
San Diego 10
Ankara 9
Ariano Irpino 9
Basingstoke 9
Belo Horizonte 9
Brasília 9
Brooklyn 9
Des Moines 9
London 9
Phoenix 9
Pune 9
Rio de Janeiro 9
Castel San Lorenzo 8
Chengdu 8
Guarulhos 8
Totale 24.334
Nome #
Bootsrap variance estimates for neural networks regression models 1.337
Clustering and classification of spatio-temporal data using spatial dynamic panel data models 1.288
Clustering Complex Time Series Databases 719
Neural Networks for bandwidth selection in non-parametric derivative estimation 617
Input Variable Selection in Neural Network Models 605
Forecasting non linear time series: empirical evidences on financial data 602
A Model-Free Screening Selection Approach by Local Derivative Estimation 586
Local or global smoothing? A bandwidth selector for dependent data 507
Neural Networks and Bootstrap Methods for Regression Models with Dependent Errors 491
A locally adaptive bandwidth selector for kernel based regression 488
Local polynomial and neural network estimators for the analysis of financial data 484
Estimating the conditional Mean of a Non Linear Time Series using Neural Networks 479
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach 476
Value-at-Risk Inference with NN Sieve bootstrap 472
Ranking-Based Variable Selection for the Default Risk of Bank Loan Holders 455
Un criterio di inizializzazione per reti neurali nell'analisi del trend 454
Neural Networks in nonparametric derivative estimation 423
Testing spatial dynamic panel data models with heterogeneous spatial and regression coefficients 412
Bootstrap Variable Selection in Neural Network Regression Models 411
Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction 409
Efficient nonparametric estimation and inference for the volatility function 401
Estimating smooth functions of sample mean in diffusion processes: a MBB approach 391
Processi Stocastici ed Inferenza Statistica 390
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 351
Bootstrap Variable Selection in Neural Network Regression Models 348
Bootstrap prediction intervals with neural networks in nonlinear time series 338
Estimation the asymptotic variance of kernel smoothers for dependent data 337
Neural network sieve bootstrap for nonlinear time series 321
Le reti neurali per la previsione di serie storiche: aspetti metodologici ed evidenze empiriche su dati idrologici 286
Industrial District in the South of Italy AREA (LLMA): Method and First results 276
Local Polynomials for Variable Selection 268
A Variable Selection Method for High-Dimensional Survival Data 263
Unit Root Testing in Presence of a Double Threshold Process 250
Variable Selection in Estimating Bank Default 246
Multiple Testing for Different Structures of Spatial Dynamic Panel Data Models 240
A new procedure for variable selection in presence of rare events 236
A modified Conditional Least Squares estimator for parameters in a class of bilinear models 226
Probabilistic properties of Self Exciting Threshold Autoregressive processes. 225
GRID: A Variable selection and structure discovery method for high dimensional nonparametric regression 221
Screening covariates in presence of unbalanced binary dependent variable 218
The Univariate Distribution function for a particular Bilinear Model 215
Linear and nonlinear effects explaining the risk of Covid-19 infection: an empirical analysis on real data from the USA 212
Parametric and Non-parametric methods in non-linear time series analysis: a critical evaluation 212
Financial Time Series Classification by Nonparametric Trend Estimation 212
STRUCTURE DISCOVERING IN NONPARAMETRIC REGRESSION BY THE GRID PROCEDURE 208
A nonparametric approach for nonlinear variable screening in high-dimensions 202
Bootstrap variable selection in neural network regression models 200
Clustering complex time-series databases by using periodic components 199
Neural networks as Series estimators: A Statistical Interpretation of the Hidden Layer Size 195
On the estimation in continuous limit of GARCH processes 195
Bias-corrected inference for multivariate nonparametric regression: Model selection and oracle property 190
A simulation study for the evaluation of the seasonal adjustment and forecasting performances of the TESS system 189
Detecting cycles in Complex Time Series Databases 183
Weak Consistent Moving Block Bootstrap of sampling distribution of CLS Estimators in a class of bilinear models 182
Linear approximation of nonlinear threshold models 178
Statistical modelling of complex time series 174
“Industrial District in the South of Italy. A new databank for the analysis of the Local Labour Market” 169
TESTING DIFFERENT STRUCTURES OF SPATIAL DYNAMIC PANEL DATA MODELS 169
Bootstrap Variance Estimates for Neurl Networks Regression Models 166
Properties of the neural network sieve bootstrap 160
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence 159
Campionamento e questionario 158
Bootstrap Prediction Intervals with Neural Networks in Nonlinear Time Series 157
Neural Network Sieve Bootstrap For Resampling Hydrological Time Series 157
Le reti neurali artificiali nell'analisi delle serie storiche 156
Detecting Short-Term Cycles in Complex Time Series Databases 156
Variable ranking and data reduction in GLM domain 155
Proprietà asintotiche degli stimatori neurali nel modello di regressione non parametrico 154
Neural Network Sieve Bootstrap for Nonlinear Time Series 153
NEURAL NETWORKS FOR BANDWIDTH SELECTION IN LOCAL LINEAR REGRESSION FOR TIME SERIES 150
Threshold random walk structures in finance 149
Macroeconomic Time Series Classification by Nonparametric Trend Estimation 148
The Univariate Distribution function for a particular Bilinear Model 148
Osservatorio sulle imprese della provincia di Salerno: una nuova banca dati per l'analisi dei sistemi locali del lavoro, metodi e primi risultati 147
Nonparametric estimation of volatility functions: Some experimental evidences 146
Kernel based methods for volatility modelling: the problem of bandwidth selection 145
Standard error estimation in neural network regression models: the moving block bootstrap approach 141
Parameter estimation in continuous stochastic volatility models 141
Periodical feature based time series clustering 136
Ranking-Based Variable Selection for ultra-high dimensional data in GLM framework 133
CLS asymptotic variance for a particular relevant bilinear time series model 131
Global adaptive smoothing regression 131
Local Polynomial estimators vs Neural Networks: some empirical evidences 127
A two-step adaptive bandwidth selector for kernel based regression of dependent data 127
A note on the linear approximation of TAR models 126
Parametric and npn-parametric methods in non linear time series analysis: a critical evaluation 125
Variable selection and classification by the GRIDprocedure 125
Bootstrap prediction intervals for weighted TAR predictors 125
On the stationarity of the Threshold Autoregressive process: the two regimes case 124
Neural network sieve bootstrap for nonlinear time series 124
A nonparametric procedure for linear and nonlinear variable screening 124
GRID for variable selection in high dimensional regression 123
Clustering nonlinear time series with neural network bootstrap forecast distributions 123
Testing Clusters of Locations in Spatial Dynamic Panel Data models 122
The hidden layer size in feed-forward neural networks: a statistical point of view 122
Clustering production indexes for construction with forecast distributions 121
Forecasting nonlinear time series with neural network sieve bootstrap 120
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 27.089
Categoria #
all - tutte 62.086
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 62.086


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022865 7 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
2026/202734 34 0 0 0 0 0 0 0 0 0 0 0
Totale 29.421