UniSa - IRIS Institutional Research Information System

GIORDANO, Francesco
 Distribuzione geografica
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Continente #
NA - Nord America 5.506
EU - Europa 2.454
AS - Asia 1.119
SA - Sud America 89
AF - Africa 7
Continente sconosciuto - Info sul continente non disponibili 2
OC - Oceania 1
Totale 9.178
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Nazione #
US - Stati Uniti d'America 5.480
IT - Italia 1.196
CN - Cina 522
UA - Ucraina 415
SG - Singapore 364
RU - Federazione Russa 248
IE - Irlanda 149
DE - Germania 135
VN - Vietnam 98
FI - Finlandia 91
BR - Brasile 85
FR - Francia 71
SE - Svezia 57
TR - Turchia 52
GB - Regno Unito 46
KR - Corea 34
CA - Canada 22
NL - Olanda 18
IN - India 14
HK - Hong Kong 7
JP - Giappone 6
CH - Svizzera 5
AE - Emirati Arabi Uniti 4
ES - Italia 4
IR - Iran 4
PK - Pakistan 4
MX - Messico 3
RO - Romania 3
AT - Austria 2
BA - Bosnia-Erzegovina 2
BD - Bangladesh 2
BE - Belgio 2
BG - Bulgaria 2
CZ - Repubblica Ceca 2
EU - Europa 2
IL - Israele 2
IQ - Iraq 2
LU - Lussemburgo 2
NG - Nigeria 2
UY - Uruguay 2
AR - Argentina 1
AU - Australia 1
AZ - Azerbaigian 1
CR - Costa Rica 1
EG - Egitto 1
GA - Gabon 1
GR - Grecia 1
HU - Ungheria 1
MA - Marocco 1
ML - Mali 1
MM - Myanmar 1
NO - Norvegia 1
PL - Polonia 1
TH - Thailandia 1
UZ - Uzbekistan 1
VE - Venezuela 1
ZA - Sudafrica 1
Totale 9.178
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Città #
Ann Arbor 1.489
Jacksonville 509
Chandler 489
Wilmington 472
Houston 448
Woodbridge 430
Princeton 414
Salerno 269
Ashburn 161
Singapore 157
Dublin 144
Nanjing 124
Beijing 106
Andover 98
Dong Ket 98
Moscow 76
Pellezzano 62
Rome 62
Boardman 50
Izmir 44
Redwood City 42
Dearborn 38
Nanchang 36
Hebei 35
Fairfield 34
Shenyang 32
Napoli 31
Changsha 28
Norwalk 28
Jiaxing 26
Naples 25
Mestre 23
Jinan 19
Marcianise 18
Tianjin 18
Guangzhou 17
Ottawa 17
Caserta 16
Washington 13
Cambridge 12
Düsseldorf 12
Dallas 10
Ariano Irpino 9
Des Moines 9
Pune 9
San Diego 9
Castel San Lorenzo 8
Chengdu 8
Stella Cilento 8
Amsterdam 7
Gragnano 7
Ottaviano 7
Pozzuoli 7
Seattle 7
Shanghai 7
Wuhan 7
Helsinki 6
Hong Kong 6
Los Angeles 6
Menlo Park 6
Saronno 6
Hangzhou 5
Hefei 5
Maceió 5
Padova 5
Santa Clara 5
Solofra 5
Tokyo 5
Yubileyny 5
Zhengzhou 5
Airola 4
Ankara 4
Bari 4
Belo Horizonte 4
Bologna 4
Caivano 4
Fisciano 4
Giugliano In Campania 4
Haikou 4
Milan 4
Nuremberg 4
Nürnberg 4
Palermo 4
Sarno 4
Bergamo 3
Brasília 3
Cagliari 3
Chieri 3
Cicciano 3
Colchester 3
Council Bluffs 3
Dugenta 3
Edinburgh 3
Florence 3
Fuzhou 3
Grumo Nevano 3
Istanbul 3
Lanzhou 3
London 3
Lund 3
Totale 6.520
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Nome #
Bootstrap Variable Selection in Neural Network Regression Models 217
Clustering Complex Time Series Databases 167
Industrial District in the South of Italy AREA (LLMA): Method and First results 163
Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction 153
Clustering complex time-series databases by using periodic components 140
A simulation study for the evaluation of the seasonal adjustment and forecasting performances of the TESS system 132
Bootsrap variance estimates for neural networks regression models 132
Probabilistic properties of Self Exciting Threshold Autoregressive processes. 127
GRID: A Variable selection and structure discovery method for high dimensional nonparametric regression 127
Bias-corrected inference for multivariate nonparametric regression: Model selection and oracle property 125
Detecting Short-Term Cycles in Complex Time Series Databases 123
Threshold random walk structures in finance 119
A locally adaptive bandwidth selector for kernel based regression 117
Estimating smooth functions of sample mean in diffusion processes: a MBB approach 117
Neural Network Sieve Bootstrap for Nonlinear Time Series 116
Bootstrap Variance Estimates for Neurl Networks Regression Models 115
Local or global smoothing? A bandwidth selector for dependent data 113
NEURAL NETWORKS FOR BANDWIDTH SELECTION IN LOCAL LINEAR REGRESSION FOR TIME SERIES 112
On the estimation in continuous limit of GARCH processes 111
Local Polynomials for Variable Selection 109
Detecting cycles in Complex Time Series Databases 108
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 107
Bootstrap variable selection in neural network regression models 106
“Industrial District in the South of Italy. A new databank for the analysis of the Local Labour Market” 105
Properties of the neural network sieve bootstrap 105
Global adaptive smoothing regression 105
Parameter estimation in continuous stochastic volatility models 104
Neural network sieve bootstrap for nonlinear time series 101
Kernel based methods for volatility modelling: the problem of bandwidth selection 101
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach 100
Bootstrap prediction intervals with neural networks in nonlinear time series 97
Forecasting non linear time series: empirical evidences on financial data 95
Input Variable Selection in Neural Network Models 95
Value-at-Risk Inference with NN Sieve bootstrap 94
Periodical feature based time series clustering 93
Bootstrap Variable Selection in Neural Network Regression Models 92
Processi Stocastici ed Inferenza Statistica 92
Standard error estimation in neural network regression models: the moving block bootstrap approach 91
Campionamento e questionario 91
Parametric and Non-parametric methods in non-linear time series analysis: a critical evaluation 90
Statistical modelling of complex time series 90
The hidden layer size in feed-forward neural networks: a statistical point of view 89
GRID for variable selection in high dimensional regression 89
Unit Root Testing in Presence of a Double Threshold Process 89
Bootstrap Prediction Intervals with Neural Networks in Nonlinear Time Series 88
On the RODEO method for variable selection 88
Parametric and npn-parametric methods in non linear time series analysis: a critical evaluation 87
A nonparametric approach for nonlinear variable screening in high-dimensions 86
Neural Networks and Bootstrap Methods for Regression Models with Dependent Errors 85
A two-step adaptive bandwidth selector for kernel based regression of dependent data 85
Le reti neurali per la previsione di serie storiche: aspetti metodologici ed evidenze empiriche su dati idrologici 84
On the stationarity of the Threshold Autoregressive process: the two regimes case 82
Large Sample properties of Neural estimators in a regression model with phi-mixing errors 81
TESTING DIFFERENT STRUCTURES OF SPATIAL DYNAMIC PANEL DATA MODELS 81
Linear approximation of nonlinear threshold models 80
Neural networks as Series estimators: A Statistical Interpretation of the Hidden Layer Size 79
Industrial District in the South of Italy AREA (LLMA): Method and First results. 77
Parametric and Non-Parametric Methods in Non-linear Time Series Analysis: a Critical evaluation 77
Reti neurali per l?analisi del trend: un approccio per identificare la topologia della rete 76
Neural Network Sieve Bootstrap For Resampling Hydrological Time Series 76
Financial Time Series Classification by Nonparametric Trend Estimation 76
Forecasting nonlinear time series with neural network sieve bootstrap 75
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence 75
Nonparametric estimation of volatility functions: Some experimental evidences 75
“Salario di riserva, probabilità di occupazione ed efficacia dell’istruzione universitaria: un’analisi sugli studenti dell’Università di Salerno” 74
Local Polynomial estimators vs Neural Networks: some empirical evidences 74
A modified Conditional Least Squares estimator for parameters in a class of bilinear models 74
The Univariate Distribution function for a particular Bilinear Model 73
Estimating the conditional Mean of a Non Linear Time Series using Neural Networks 73
Neural Networks for bandwidth selection in non-parametric derivative estimation 73
Le reti neurali artificiali nell'analisi delle serie storiche 72
Neural network sieve bootstrap for nonlinear time series 70
CLS asymptotic variance for a particular relevant bilinear time series model 69
La struttura di una rete neurale nell'analisi delle serie storiche 67
Weak Consistent Moving Block Bootstrap of sampling distribution of CLS Estimators in a class of bilinear models 67
Local polynomial and neural network estimators for the analysis of financial data 67
Osservatorio sulle imprese della provincia di Salerno: una nuova banca dati per l'analisi dei sistemi locali del lavoro, metodi e primi risultati 66
Estimation the asymptotic variance of kernel smoothers for dependent data 66
A nonparametric procedure for linear and nonlinear variable screening 66
Un criterio di inizializzazione per reti neurali nell'analisi del trend 65
Neural Networks in nonparametric derivative estimation 64
A note on the linear approximation of TAR models 64
Proprietà asintotiche degli stimatori neurali nel modello di regressione non parametrico 63
Bootstrap prediction intervals for weighted TAR predictors 61
Intervalli di confidenza asintotici in modelli bilineari per serie etoriche 60
Le reti neuronali per la previsione di serie storiche: aspetti metodologici ed evidenze empiriche su dati idrologici 60
The Univariate Distribution function for a particular Bilinear Model 58
Local polynomial vs neural networks: some empirical evidences 57
The hidden layer size in feed-forward neural networks: a statistical point of view. 55
Efficient nonparametric estimation and inference for the volatility function 50
A new procedure for variable selection in presence of rare events 50
Large-sample Properties of Neural Estimators in a regression Model with phi-mixing Errors 47
Nonparametric estimation of the dynamic range of music signals 47
Multiple Testing for Different Structures of Spatial Dynamic Panel Data Models 46
Moving Block Bootstrap for a Class of Bilinear Models 45
Clustering nonlinear time series with neural network bootstrap forecast distributions 45
Proprietà statistiche in serie storiche sottocampionate 44
Testing spatial dynamic panel data models with heterogeneous spatial and regression coefficients 44
WEAK CONSISTENT MOVING BLOCKM BOOTSTRAP ESTIMATOR FOR THE VARIANCE OF CLS ESTIMATORS IN A CLASS OF BILINEAR MODELS 43
Variable Selection in Estimating Bank Default 43
Totale 8.739
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Categoria #
all - tutte 30.805
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 30.805
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020191 0 0 0 0 0 0 0 0 0 0 152 39
2020/2021964 16 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
2024/2025885 61 47 62 39 36 135 178 114 153 53 7 0
Totale 9.410