UniSa - IRIS Institutional Research Information System

GIORDANO, Francesco
 Distribuzione geografica
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Continente #
AS - Asia 16.030
NA - Nord America 6.112
EU - Europa 2.651
SA - Sud America 320
AF - Africa 40
OC - Oceania 4
Continente sconosciuto - Info sul continente non disponibili 2
Totale 25.159
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Nazione #
HK - Hong Kong 14.604
US - Stati Uniti d'America 6.052
IT - Italia 1.236
CN - Cina 605
SG - Singapore 422
UA - Ucraina 419
BR - Brasile 272
RU - Federazione Russa 253
DE - Germania 194
VN - Vietnam 177
IE - Irlanda 149
FI - Finlandia 105
FR - Francia 96
SE - Svezia 61
GB - Regno Unito 59
TR - Turchia 57
KR - Corea 50
CA - Canada 36
IN - India 33
AR - Argentina 21
NL - Olanda 21
MX - Messico 18
BD - Bangladesh 17
JP - Giappone 13
ZA - Sudafrica 12
AT - Austria 10
ID - Indonesia 9
PL - Polonia 9
CH - Svizzera 8
ES - Italia 8
IQ - Iraq 8
CO - Colombia 7
MA - Marocco 7
AE - Emirati Arabi Uniti 5
CZ - Repubblica Ceca 4
EG - Egitto 4
IR - Iran 4
KE - Kenya 4
PK - Pakistan 4
SA - Arabia Saudita 4
UY - Uruguay 4
BO - Bolivia 3
EC - Ecuador 3
IL - Israele 3
PY - Paraguay 3
RO - Romania 3
AU - Australia 2
BA - Bosnia-Erzegovina 2
BE - Belgio 2
BG - Bulgaria 2
CL - Cile 2
CY - Cipro 2
DZ - Algeria 2
EE - Estonia 2
EU - Europa 2
GT - Guatemala 2
KZ - Kazakistan 2
LU - Lussemburgo 2
NG - Nigeria 2
PE - Perù 2
PH - Filippine 2
TH - Thailandia 2
TN - Tunisia 2
UZ - Uzbekistan 2
VE - Venezuela 2
AL - Albania 1
AO - Angola 1
AZ - Azerbaigian 1
CR - Costa Rica 1
DO - Repubblica Dominicana 1
ET - Etiopia 1
GA - Gabon 1
GD - Grenada 1
GH - Ghana 1
GR - Grecia 1
HU - Ungheria 1
JO - Giordania 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
SR - Suriname 1
Totale 25.159
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Città #
Hong Kong 14.590
Ann Arbor 1.489
Jacksonville 509
Chandler 489
Wilmington 472
Houston 448
Woodbridge 430
Princeton 414
Dallas 357
Salerno 271
Singapore 200
Ashburn 179
Dublin 144
Nanjing 124
Beijing 110
Andover 98
Dong Ket 98
Moscow 77
Rome 68
Pellezzano 62
Munich 52
Boardman 50
Izmir 44
Redwood City 42
Dearborn 39
Nanchang 36
Hebei 35
Fairfield 34
Naples 34
Shenyang 32
Napoli 31
Council Bluffs 29
Changsha 28
Norwalk 28
Jiaxing 26
Ho Chi Minh City 23
Mestre 23
Jinan 19
Marcianise 19
Tianjin 18
Guangzhou 17
Ottawa 17
Caserta 16
Los Angeles 16
Santa Clara 16
São Paulo 16
Turku 14
Hanoi 13
Washington 13
Cambridge 12
Düsseldorf 12
New York 12
Tokyo 12
Fisciano 10
Nuremberg 10
Amsterdam 9
Ariano Irpino 9
Des Moines 9
Pune 9
San Diego 9
Seattle 9
The Dalles 9
Castel San Lorenzo 8
Chengdu 8
Chennai 8
Mexico City 8
Stella Cilento 8
Ankara 7
Chicago 7
Columbus 7
Gragnano 7
Ottaviano 7
Pozzuoli 7
Shanghai 7
Vienna 7
Wuhan 7
Atlanta 6
Belo Horizonte 6
Brasília 6
Guarulhos 6
Helsinki 6
London 6
Maceió 6
Menlo Park 6
Milan 6
Rio de Janeiro 6
San Francisco 6
Saronno 6
Stockholm 6
Toronto 6
Warsaw 6
Boston 5
Hangzhou 5
Hefei 5
Johannesburg 5
Padova 5
Solofra 5
Yubileyny 5
Zhengzhou 5
Airola 4
Totale 21.777
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Nome #
Bootsrap variance estimates for neural networks regression models 1.303
Clustering and classification of spatio-temporal data using spatial dynamic panel data models 1.229
Clustering Complex Time Series Databases 681
Neural Networks for bandwidth selection in non-parametric derivative estimation 593
Input Variable Selection in Neural Network Models 580
Forecasting non linear time series: empirical evidences on financial data 577
A Model-Free Screening Selection Approach by Local Derivative Estimation 550
Local or global smoothing? A bandwidth selector for dependent data 485
Neural Networks and Bootstrap Methods for Regression Models with Dependent Errors 465
Estimating the conditional Mean of a Non Linear Time Series using Neural Networks 458
Local polynomial and neural network estimators for the analysis of financial data 457
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach 451
A locally adaptive bandwidth selector for kernel based regression 450
Value-at-Risk Inference with NN Sieve bootstrap 439
Ranking-Based Variable Selection for the Default Risk of Bank Loan Holders 426
Un criterio di inizializzazione per reti neurali nell'analisi del trend 424
Neural Networks in nonparametric derivative estimation 406
Efficient nonparametric estimation and inference for the volatility function 384
Testing spatial dynamic panel data models with heterogeneous spatial and regression coefficients 377
Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction 373
Bootstrap Variable Selection in Neural Network Regression Models 367
Processi Stocastici ed Inferenza Statistica 363
Estimating smooth functions of sample mean in diffusion processes: a MBB approach 359
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 357
Clustering and Testing Financial Asset Returns Using the Spatial Dynamic Panel Data Model 306
Estimation the asymptotic variance of kernel smoothers for dependent data 300
Bootstrap Variable Selection in Neural Network Regression Models 297
Neural network sieve bootstrap for nonlinear time series 287
Bootstrap prediction intervals with neural networks in nonlinear time series 283
Le reti neurali per la previsione di serie storiche: aspetti metodologici ed evidenze empiriche su dati idrologici 263
Local Polynomials for Variable Selection 234
A Variable Selection Method for High-Dimensional Survival Data 225
Unit Root Testing in Presence of a Double Threshold Process 218
Variable Selection in Estimating Bank Default 211
Industrial District in the South of Italy AREA (LLMA): Method and First results 206
Multiple Testing for Different Structures of Spatial Dynamic Panel Data Models 206
Probabilistic properties of Self Exciting Threshold Autoregressive processes. 203
Screening covariates in presence of unbalanced binary dependent variable 201
GRID: A Variable selection and structure discovery method for high dimensional nonparametric regression 200
The Univariate Distribution function for a particular Bilinear Model 193
Parametric and Non-parametric methods in non-linear time series analysis: a critical evaluation 183
A new procedure for variable selection in presence of rare events 183
A modified Conditional Least Squares estimator for parameters in a class of bilinear models 178
Neural networks as Series estimators: A Statistical Interpretation of the Hidden Layer Size 175
Linear and nonlinear effects explaining the risk of Covid-19 infection: an empirical analysis on real data from the USA 174
On the estimation in continuous limit of GARCH processes 171
STRUCTURE DISCOVERING IN NONPARAMETRIC REGRESSION BY THE GRID PROCEDURE 170
Financial Time Series Classification by Nonparametric Trend Estimation 169
Clustering complex time-series databases by using periodic components 159
Weak Consistent Moving Block Bootstrap of sampling distribution of CLS Estimators in a class of bilinear models 158
Bootstrap variable selection in neural network regression models 156
A nonparametric approach for nonlinear variable screening in high-dimensions 155
Linear approximation of nonlinear threshold models 151
A simulation study for the evaluation of the seasonal adjustment and forecasting performances of the TESS system 150
Detecting cycles in Complex Time Series Databases 147
Bias-corrected inference for multivariate nonparametric regression: Model selection and oracle property 146
“Industrial District in the South of Italy. A new databank for the analysis of the Local Labour Market” 144
Statistical modelling of complex time series 140
Detecting Short-Term Cycles in Complex Time Series Databases 134
Neural Network Sieve Bootstrap For Resampling Hydrological Time Series 132
Bootstrap Variance Estimates for Neurl Networks Regression Models 132
Nonparametric estimation of volatility functions: Some experimental evidences 130
Neural Network Sieve Bootstrap for Nonlinear Time Series 129
Properties of the neural network sieve bootstrap 129
Threshold random walk structures in finance 128
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence 126
Proprietà asintotiche degli stimatori neurali nel modello di regressione non parametrico 125
NEURAL NETWORKS FOR BANDWIDTH SELECTION IN LOCAL LINEAR REGRESSION FOR TIME SERIES 124
The Univariate Distribution function for a particular Bilinear Model 123
Osservatorio sulle imprese della provincia di Salerno: una nuova banca dati per l'analisi dei sistemi locali del lavoro, metodi e primi risultati 121
Le reti neurali artificiali nell'analisi delle serie storiche 119
TESTING DIFFERENT STRUCTURES OF SPATIAL DYNAMIC PANEL DATA MODELS 119
Macroeconomic Time Series Classification by Nonparametric Trend Estimation 118
Kernel based methods for volatility modelling: the problem of bandwidth selection 116
Standard error estimation in neural network regression models: the moving block bootstrap approach 114
Global adaptive smoothing regression 113
Bootstrap Prediction Intervals with Neural Networks in Nonlinear Time Series 112
Campionamento e questionario 112
Parameter estimation in continuous stochastic volatility models 110
Ranking-Based Variable Selection for ultra-high dimensional data in GLM framework 110
Periodical feature based time series clustering 105
Local Polynomial estimators vs Neural Networks: some empirical evidences 103
Variable ranking and data reduction in GLM domain 101
A two-step adaptive bandwidth selector for kernel based regression of dependent data 99
GRID for variable selection in high dimensional regression 98
On the RODEO method for variable selection 98
Moving Block Bootstrap for a Class of Bilinear Models 97
The hidden layer size in feed-forward neural networks: a statistical point of view 97
Parametric and npn-parametric methods in non linear time series analysis: a critical evaluation 97
Neural network sieve bootstrap for nonlinear time series 96
CLS asymptotic variance for a particular relevant bilinear time series model 93
Variable selection and classification by the GRIDprocedure 91
Industrial District in the South of Italy AREA (LLMA): Method and First results. 90
Large Sample properties of Neural estimators in a regression model with phi-mixing errors 90
Forecasting nonlinear time series with neural network sieve bootstrap 89
Parametric and Non-Parametric Methods in Non-linear Time Series Analysis: a Critical evaluation 88
On the stationarity of the Threshold Autoregressive process: the two regimes case 88
Clustering production indexes for construction with forecast distributions 88
“Salario di riserva, probabilità di occupazione ed efficacia dell’istruzione universitaria: un’analisi sugli studenti dell’Università di Salerno” 87
La struttura di una rete neurale nell'analisi delle serie storiche 85
Totale 23.852
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Categoria #
all - tutte 52.891
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 52.891
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021775 0 0 0 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
2025/202615.491 2.009 7.724 5.661 97 0 0 0 0 0 0 0 0
Totale 25.395