UniSa - IRIS Institutional Research Information System

GIORDANO, Francesco
 Distribuzione geografica
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Continente #
AS - Asia 9.104
NA - Nord America 5.775
EU - Europa 2.609
SA - Sud America 224
AF - Africa 29
OC - Oceania 3
Continente sconosciuto - Info sul continente non disponibili 2
Totale 17.746
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Nazione #
HK - Hong Kong 7.847
US - Stati Uniti d'America 5.725
IT - Italia 1.214
CN - Cina 525
UA - Ucraina 417
SG - Singapore 410
RU - Federazione Russa 251
BR - Brasile 198
DE - Germania 191
IE - Irlanda 149
VN - Vietnam 123
FI - Finlandia 105
FR - Francia 90
SE - Svezia 60
GB - Regno Unito 59
TR - Turchia 57
KR - Corea 48
CA - Canada 33
IN - India 32
NL - Olanda 20
BD - Bangladesh 15
MX - Messico 13
JP - Giappone 12
ZA - Sudafrica 11
AT - Austria 10
AR - Argentina 8
CH - Svizzera 8
ES - Italia 8
PL - Polonia 6
AE - Emirati Arabi Uniti 5
IQ - Iraq 5
MA - Marocco 5
CO - Colombia 4
CZ - Repubblica Ceca 4
IR - Iran 4
PK - Pakistan 4
SA - Arabia Saudita 4
EG - Egitto 3
IL - Israele 3
KE - Kenya 3
RO - Romania 3
UY - Uruguay 3
AU - Australia 2
BA - Bosnia-Erzegovina 2
BE - Belgio 2
BG - Bulgaria 2
BO - Bolivia 2
EC - Ecuador 2
EU - Europa 2
KZ - Kazakistan 2
LU - Lussemburgo 2
NG - Nigeria 2
PY - Paraguay 2
TH - Thailandia 2
UZ - Uzbekistan 2
VE - Venezuela 2
AZ - Azerbaigian 1
CL - Cile 1
CR - Costa Rica 1
DO - Repubblica Dominicana 1
DZ - Algeria 1
EE - Estonia 1
GA - Gabon 1
GH - Ghana 1
GR - Grecia 1
GT - Guatemala 1
HU - Ungheria 1
ID - Indonesia 1
JO - Giordania 1
LI - Liechtenstein 1
ML - Mali 1
MM - Myanmar 1
NO - Norvegia 1
NR - Nauru 1
PA - Panama 1
PE - Perù 1
PT - Portogallo 1
SR - Suriname 1
TN - Tunisia 1
Totale 17.746
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Città #
Hong Kong 7.838
Ann Arbor 1.489
Jacksonville 509
Chandler 489
Wilmington 472
Houston 448
Woodbridge 430
Princeton 414
Salerno 271
Singapore 200
Ashburn 178
Dublin 144
Nanjing 124
Beijing 109
Andover 98
Dong Ket 98
Moscow 77
Rome 64
Pellezzano 62
Munich 52
Boardman 50
Dallas 44
Izmir 44
Redwood City 42
Dearborn 39
Nanchang 36
Hebei 35
Fairfield 34
Shenyang 32
Napoli 31
Council Bluffs 29
Changsha 28
Norwalk 28
Jiaxing 26
Naples 26
Mestre 23
Jinan 19
Marcianise 19
Tianjin 18
Guangzhou 17
Ottawa 17
Caserta 16
Los Angeles 16
Santa Clara 16
Turku 14
Washington 13
Cambridge 12
Düsseldorf 12
São Paulo 12
New York 11
Tokyo 11
Nuremberg 10
Amsterdam 9
Ariano Irpino 9
Des Moines 9
Pune 9
San Diego 9
Seattle 9
Castel San Lorenzo 8
Chengdu 8
Chennai 8
Fisciano 8
Stella Cilento 8
Ankara 7
Chicago 7
Columbus 7
Gragnano 7
Mexico City 7
Ottaviano 7
Pozzuoli 7
Shanghai 7
Vienna 7
Wuhan 7
Atlanta 6
Helsinki 6
London 6
Maceió 6
Menlo Park 6
San Francisco 6
Saronno 6
The Dalles 6
Belo Horizonte 5
Boston 5
Brasília 5
Hangzhou 5
Hanoi 5
Hefei 5
Ho Chi Minh City 5
Padova 5
Solofra 5
Stockholm 5
Warsaw 5
Yubileyny 5
Zhengzhou 5
Airola 4
Bari 4
Bologna 4
Brooklyn 4
Caivano 4
Giugliano In Campania 4
Totale 14.647
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Nome #
Bootsrap variance estimates for neural networks regression models 1.006
Clustering and classification of spatio-temporal data using spatial dynamic panel data models 927
Clustering Complex Time Series Databases 396
A Model-Free Screening Selection Approach by Local Derivative Estimation 391
Input Variable Selection in Neural Network Models 337
Forecasting non linear time series: empirical evidences on financial data 335
Neural Networks for bandwidth selection in non-parametric derivative estimation 314
Local or global smoothing? A bandwidth selector for dependent data 291
Neural network sieve bootstrap for nonlinear time series 281
Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction 269
Neural Networks and Bootstrap Methods for Regression Models with Dependent Errors 260
Estimating the conditional Mean of a Non Linear Time Series using Neural Networks 254
Bootstrap Variable Selection in Neural Network Regression Models 253
Local polynomial and neural network estimators for the analysis of financial data 249
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach 248
A locally adaptive bandwidth selector for kernel based regression 247
Bootstrap Variable Selection in Neural Network Regression Models 233
Value-at-Risk Inference with NN Sieve bootstrap 233
Local Polynomials for Variable Selection 231
Un criterio di inizializzazione per reti neurali nell'analisi del trend 229
Processi Stocastici ed Inferenza Statistica 227
A Variable Selection Method for High-Dimensional Survival Data 218
Estimating smooth functions of sample mean in diffusion processes: a MBB approach 214
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 209
Neural Networks in nonparametric derivative estimation 202
Screening covariates in presence of unbalanced binary dependent variable 195
Bootstrap prediction intervals with neural networks in nonlinear time series 190
Industrial District in the South of Italy AREA (LLMA): Method and First results 190
GRID: A Variable selection and structure discovery method for high dimensional nonparametric regression 190
The Univariate Distribution function for a particular Bilinear Model 187
Efficient nonparametric estimation and inference for the volatility function 186
Le reti neurali per la previsione di serie storiche: aspetti metodologici ed evidenze empiriche su dati idrologici 177
Ranking-Based Variable Selection for the Default Risk of Bank Loan Holders 177
Testing spatial dynamic panel data models with heterogeneous spatial and regression coefficients 177
On the estimation in continuous limit of GARCH processes 167
Probabilistic properties of Self Exciting Threshold Autoregressive processes. 163
Clustering and Testing Financial Asset Returns Using the Spatial Dynamic Panel Data Model 159
Estimation the asymptotic variance of kernel smoothers for dependent data 157
Clustering complex time-series databases by using periodic components 153
Unit Root Testing in Presence of a Double Threshold Process 145
A simulation study for the evaluation of the seasonal adjustment and forecasting performances of the TESS system 143
Detecting cycles in Complex Time Series Databases 142
Bias-corrected inference for multivariate nonparametric regression: Model selection and oracle property 139
Statistical modelling of complex time series 135
Bootstrap variable selection in neural network regression models 131
Detecting Short-Term Cycles in Complex Time Series Databases 130
Multiple Testing for Different Structures of Spatial Dynamic Panel Data Models 129
Nonparametric estimation of volatility functions: Some experimental evidences 127
Bootstrap Variance Estimates for Neurl Networks Regression Models 125
Threshold random walk structures in finance 125
Neural Network Sieve Bootstrap for Nonlinear Time Series 122
Parametric and Non-parametric methods in non-linear time series analysis: a critical evaluation 118
“Industrial District in the South of Italy. A new databank for the analysis of the Local Labour Market” 118
The Univariate Distribution function for a particular Bilinear Model 117
NEURAL NETWORKS FOR BANDWIDTH SELECTION IN LOCAL LINEAR REGRESSION FOR TIME SERIES 117
Properties of the neural network sieve bootstrap 116
Financial Time Series Classification by Nonparametric Trend Estimation 116
A nonparametric approach for nonlinear variable screening in high-dimensions 115
Neural networks as Series estimators: A Statistical Interpretation of the Hidden Layer Size 113
Kernel based methods for volatility modelling: the problem of bandwidth selection 109
A modified Conditional Least Squares estimator for parameters in a class of bilinear models 109
Global adaptive smoothing regression 109
A new procedure for variable selection in presence of rare events 108
Parameter estimation in continuous stochastic volatility models 107
Linear approximation of nonlinear threshold models 105
Neural Network Sieve Bootstrap For Resampling Hydrological Time Series 104
Variable Selection in Estimating Bank Default 104
Campionamento e questionario 101
Periodical feature based time series clustering 100
Bootstrap Prediction Intervals with Neural Networks in Nonlinear Time Series 99
Standard error estimation in neural network regression models: the moving block bootstrap approach 99
Weak Consistent Moving Block Bootstrap of sampling distribution of CLS Estimators in a class of bilinear models 99
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence 99
Local Polynomial estimators vs Neural Networks: some empirical evidences 98
Osservatorio sulle imprese della provincia di Salerno: una nuova banca dati per l'analisi dei sistemi locali del lavoro, metodi e primi risultati 95
TESTING DIFFERENT STRUCTURES OF SPATIAL DYNAMIC PANEL DATA MODELS 95
On the RODEO method for variable selection 94
The hidden layer size in feed-forward neural networks: a statistical point of view 93
GRID for variable selection in high dimensional regression 92
Parametric and npn-parametric methods in non linear time series analysis: a critical evaluation 91
Le reti neurali artificiali nell'analisi delle serie storiche 90
A two-step adaptive bandwidth selector for kernel based regression of dependent data 90
STRUCTURE DISCOVERING IN NONPARAMETRIC REGRESSION BY THE GRID PROCEDURE 87
Industrial District in the South of Italy AREA (LLMA): Method and First results. 85
Large Sample properties of Neural estimators in a regression model with phi-mixing errors 85
Clustering production indexes for construction with forecast distributions 85
Linear and nonlinear effects explaining the risk of Covid-19 infection: an empirical analysis on real data from the USA 84
Forecasting nonlinear time series with neural network sieve bootstrap 84
On the stationarity of the Threshold Autoregressive process: the two regimes case 84
“Salario di riserva, probabilità di occupazione ed efficacia dell’istruzione universitaria: un’analisi sugli studenti dell’Università di Salerno” 83
Parametric and Non-Parametric Methods in Non-linear Time Series Analysis: a Critical evaluation 83
Proprietà asintotiche degli stimatori neurali nel modello di regressione non parametrico 83
Neural network sieve bootstrap for nonlinear time series 83
CLS asymptotic variance for a particular relevant bilinear time series model 80
Reti neurali per l?analisi del trend: un approccio per identificare la topologia della rete 79
La struttura di una rete neurale nell'analisi delle serie storiche 76
A nonparametric procedure for linear and nonlinear variable screening 76
A note on the linear approximation of TAR models 74
Clustering nonlinear time series with neural network bootstrap forecast distributions 74
Bootstrap prediction intervals for weighted TAR predictors 72
Totale 16.792
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Categoria #
all - tutte 43.266
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 43.266
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021948 0 87 86 15 106 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
2025/20268.078 2.009 6.069 0 0 0 0 0 0 0 0 0 0
Totale 17.982