UniSa - IRIS Institutional Research Information System

GIORDANO, Francesco
 Distribuzione geografica
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Continente #
AS - Asia 16.704
NA - Nord America 6.403
EU - Europa 2.728
SA - Sud America 437
AF - Africa 56
OC - Oceania 4
Continente sconosciuto - Info sul continente non disponibili 2
Totale 26.334
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Nazione #
HK - Hong Kong 14.606
US - Stati Uniti d'America 6.325
IT - Italia 1.258
SG - Singapore 851
CN - Cina 714
UA - Ucraina 420
BR - Brasile 358
VN - Vietnam 258
RU - Federazione Russa 256
DE - Germania 195
IE - Irlanda 149
FI - Finlandia 105
FR - Francia 105
GB - Regno Unito 72
SE - Svezia 70
TR - Turchia 59
KR - Corea 50
CA - Canada 44
IN - India 42
AR - Argentina 37
BD - Bangladesh 25
MX - Messico 24
NL - Olanda 24
JP - Giappone 18
PL - Polonia 18
ZA - Sudafrica 18
IQ - Iraq 16
ID - Indonesia 14
MA - Marocco 11
AT - Austria 10
ES - Italia 10
CO - Colombia 9
CH - Svizzera 8
EC - Ecuador 8
AE - Emirati Arabi Uniti 7
KE - Kenya 6
PK - Pakistan 6
UZ - Uzbekistan 6
IL - Israele 5
IR - Iran 5
PY - Paraguay 5
SA - Arabia Saudita 5
UY - Uruguay 5
VE - Venezuela 5
CZ - Repubblica Ceca 4
DZ - Algeria 4
EG - Egitto 4
BG - Bulgaria 3
BO - Bolivia 3
CL - Cile 3
GT - Guatemala 3
LT - Lituania 3
PE - Perù 3
RO - Romania 3
AL - Albania 2
AU - Australia 2
AZ - Azerbaigian 2
BA - Bosnia-Erzegovina 2
BE - Belgio 2
CR - Costa Rica 2
CY - Cipro 2
EE - Estonia 2
ET - Etiopia 2
EU - Europa 2
JO - Giordania 2
KZ - Kazakistan 2
LU - Lussemburgo 2
NG - Nigeria 2
NP - Nepal 2
PH - Filippine 2
TH - Thailandia 2
TN - Tunisia 2
AO - Angola 1
DM - Dominica 1
DO - Repubblica Dominicana 1
GA - Gabon 1
GD - Grenada 1
GH - Ghana 1
GR - Grecia 1
HN - Honduras 1
HU - Ungheria 1
KH - Cambogia 1
LB - Libano 1
LI - Liechtenstein 1
ML - Mali 1
MM - Myanmar 1
MW - Malawi 1
NA - Namibia 1
NO - Norvegia 1
NR - Nauru 1
PA - Panama 1
PF - Polinesia Francese 1
PT - Portogallo 1
SN - Senegal 1
SR - Suriname 1
Totale 26.334
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Città #
Hong Kong 14.592
Ann Arbor 1.489
Jacksonville 509
Chandler 489
Wilmington 472
Houston 455
Singapore 441
Woodbridge 430
Princeton 414
Dallas 360
Salerno 274
Ashburn 251
Dublin 144
Beijing 129
Nanjing 124
Andover 98
Dong Ket 98
Moscow 78
Rome 69
Pellezzano 62
Ho Chi Minh City 52
Munich 52
Boardman 50
Izmir 44
Redwood City 42
Dearborn 39
Nanchang 36
Naples 36
São Paulo 36
Hebei 35
Fairfield 34
Los Angeles 34
New York 32
Shenyang 32
Napoli 31
Changsha 29
Council Bluffs 29
The Dalles 29
Norwalk 28
Jiaxing 27
Hanoi 26
Mestre 23
Tianjin 20
Guangzhou 19
Jinan 19
Marcianise 19
Santa Clara 19
San Jose 18
Ottawa 17
Tokyo 17
Caserta 16
Stockholm 15
Warsaw 15
Turku 14
Chennai 13
Orem 13
Washington 13
Amsterdam 12
Cambridge 12
Denver 12
Düsseldorf 12
Fisciano 11
Poplar 11
Seattle 11
Chicago 10
Da Nang 10
Mexico City 10
Montreal 10
Nuremberg 10
Ankara 9
Ariano Irpino 9
Boston 9
Brasília 9
Des Moines 9
Pune 9
San Diego 9
Atlanta 8
Belo Horizonte 8
Castel San Lorenzo 8
Chengdu 8
Guarulhos 8
Johannesburg 8
London 8
Shanghai 8
Stella Cilento 8
Wuhan 8
Columbus 7
Gragnano 7
Hefei 7
Milan 7
Ottaviano 7
Pozzuoli 7
Rio de Janeiro 7
Vienna 7
Helsinki 6
Maceió 6
Menlo Park 6
Mumbai 6
San Francisco 6
Saronno 6
Totale 22.367
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Nome #
Bootsrap variance estimates for neural networks regression models 1.321
Clustering and classification of spatio-temporal data using spatial dynamic panel data models 1.257
Clustering Complex Time Series Databases 696
Neural Networks for bandwidth selection in non-parametric derivative estimation 598
Input Variable Selection in Neural Network Models 583
Forecasting non linear time series: empirical evidences on financial data 581
A Model-Free Screening Selection Approach by Local Derivative Estimation 571
Local or global smoothing? A bandwidth selector for dependent data 492
Neural Networks and Bootstrap Methods for Regression Models with Dependent Errors 472
Estimating the conditional Mean of a Non Linear Time Series using Neural Networks 462
Local polynomial and neural network estimators for the analysis of financial data 462
A locally adaptive bandwidth selector for kernel based regression 462
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach 456
Value-at-Risk Inference with NN Sieve bootstrap 444
Ranking-Based Variable Selection for the Default Risk of Bank Loan Holders 432
Un criterio di inizializzazione per reti neurali nell'analisi del trend 429
Neural Networks in nonparametric derivative estimation 408
Testing spatial dynamic panel data models with heterogeneous spatial and regression coefficients 389
Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction 388
Efficient nonparametric estimation and inference for the volatility function 388
Bootstrap Variable Selection in Neural Network Regression Models 379
Estimating smooth functions of sample mean in diffusion processes: a MBB approach 369
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 369
Processi Stocastici ed Inferenza Statistica 367
Bootstrap Variable Selection in Neural Network Regression Models 322
Clustering and Testing Financial Asset Returns Using the Spatial Dynamic Panel Data Model 319
Bootstrap prediction intervals with neural networks in nonlinear time series 309
Estimation the asymptotic variance of kernel smoothers for dependent data 307
Neural network sieve bootstrap for nonlinear time series 289
Le reti neurali per la previsione di serie storiche: aspetti metodologici ed evidenze empiriche su dati idrologici 268
Local Polynomials for Variable Selection 241
A Variable Selection Method for High-Dimensional Survival Data 241
Industrial District in the South of Italy AREA (LLMA): Method and First results 231
Unit Root Testing in Presence of a Double Threshold Process 230
Variable Selection in Estimating Bank Default 221
Multiple Testing for Different Structures of Spatial Dynamic Panel Data Models 220
Probabilistic properties of Self Exciting Threshold Autoregressive processes. 209
Screening covariates in presence of unbalanced binary dependent variable 206
GRID: A Variable selection and structure discovery method for high dimensional nonparametric regression 204
A new procedure for variable selection in presence of rare events 200
The Univariate Distribution function for a particular Bilinear Model 199
A modified Conditional Least Squares estimator for parameters in a class of bilinear models 196
Linear and nonlinear effects explaining the risk of Covid-19 infection: an empirical analysis on real data from the USA 190
Parametric and Non-parametric methods in non-linear time series analysis: a critical evaluation 188
STRUCTURE DISCOVERING IN NONPARAMETRIC REGRESSION BY THE GRID PROCEDURE 182
Neural networks as Series estimators: A Statistical Interpretation of the Hidden Layer Size 181
Bootstrap variable selection in neural network regression models 178
Financial Time Series Classification by Nonparametric Trend Estimation 177
On the estimation in continuous limit of GARCH processes 176
Clustering complex time-series databases by using periodic components 175
Bias-corrected inference for multivariate nonparametric regression: Model selection and oracle property 171
A nonparametric approach for nonlinear variable screening in high-dimensions 168
A simulation study for the evaluation of the seasonal adjustment and forecasting performances of the TESS system 166
Weak Consistent Moving Block Bootstrap of sampling distribution of CLS Estimators in a class of bilinear models 162
Linear approximation of nonlinear threshold models 159
Detecting cycles in Complex Time Series Databases 155
“Industrial District in the South of Italy. A new databank for the analysis of the Local Labour Market” 150
Statistical modelling of complex time series 145
Bootstrap Variance Estimates for Neurl Networks Regression Models 143
Bootstrap Prediction Intervals with Neural Networks in Nonlinear Time Series 139
Detecting Short-Term Cycles in Complex Time Series Databases 138
Neural Network Sieve Bootstrap For Resampling Hydrological Time Series 135
Threshold random walk structures in finance 135
Nonparametric estimation of volatility functions: Some experimental evidences 135
Properties of the neural network sieve bootstrap 134
Neural Network Sieve Bootstrap for Nonlinear Time Series 133
Campionamento e questionario 131
NEURAL NETWORKS FOR BANDWIDTH SELECTION IN LOCAL LINEAR REGRESSION FOR TIME SERIES 130
Osservatorio sulle imprese della provincia di Salerno: una nuova banca dati per l'analisi dei sistemi locali del lavoro, metodi e primi risultati 129
The Univariate Distribution function for a particular Bilinear Model 129
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence 129
Proprietà asintotiche degli stimatori neurali nel modello di regressione non parametrico 128
Macroeconomic Time Series Classification by Nonparametric Trend Estimation 126
TESTING DIFFERENT STRUCTURES OF SPATIAL DYNAMIC PANEL DATA MODELS 126
Le reti neurali artificiali nell'analisi delle serie storiche 122
Variable ranking and data reduction in GLM domain 121
Kernel based methods for volatility modelling: the problem of bandwidth selection 120
Parameter estimation in continuous stochastic volatility models 118
Global adaptive smoothing regression 118
Standard error estimation in neural network regression models: the moving block bootstrap approach 117
Ranking-Based Variable Selection for ultra-high dimensional data in GLM framework 115
CLS asymptotic variance for a particular relevant bilinear time series model 110
Local Polynomial estimators vs Neural Networks: some empirical evidences 110
Periodical feature based time series clustering 110
A two-step adaptive bandwidth selector for kernel based regression of dependent data 107
Moving Block Bootstrap for a Class of Bilinear Models 103
On the RODEO method for variable selection 103
Variable selection and classification by the GRIDprocedure 103
The hidden layer size in feed-forward neural networks: a statistical point of view 102
Neural network sieve bootstrap for nonlinear time series 102
Clustering production indexes for construction with forecast distributions 102
Parametric and npn-parametric methods in non linear time series analysis: a critical evaluation 101
GRID for variable selection in high dimensional regression 101
Clustering nonlinear time series with neural network bootstrap forecast distributions 100
A nonparametric procedure for linear and nonlinear variable screening 100
A note on the linear approximation of TAR models 99
Industrial District in the South of Italy AREA (LLMA): Method and First results. 98
On the stationarity of the Threshold Autoregressive process: the two regimes case 98
Testing Clusters of Locations in Spatial Dynamic Panel Data models 95
“Salario di riserva, probabilità di occupazione ed efficacia dell’istruzione universitaria: un’analisi sugli studenti dell’Università di Salerno” 93
Totale 24.798
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Categoria #
all - tutte 56.599
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 56.599
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021654 0 0 0 0 0 70 120 19 183 23 98 141
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
2025/202616.670 2.009 7.724 5.661 399 609 268 0 0 0 0 0 0
Totale 26.574