UniSa - IRIS Institutional Research Information System

GIORDANO, Francesco
 Distribuzione geografica
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Continente #
AS - Asia 17.374
NA - Nord America 7.353
EU - Europa 3.013
SA - Sud America 539
AF - Africa 85
OC - Oceania 4
Continente sconosciuto - Info sul continente non disponibili 2
Totale 28.370
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Nazione #
HK - Hong Kong 14.633
US - Stati Uniti d'America 7.258
IT - Italia 1.294
SG - Singapore 1.104
CN - Cina 766
UA - Ucraina 424
VN - Vietnam 417
BR - Brasile 413
FR - Francia 272
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 44
BD - Bangladesh 43
MX - Messico 34
JP - Giappone 33
IQ - Iraq 30
NL - Olanda 29
PL - Polonia 23
ZA - Sudafrica 21
ID - Indonesia 19
PK - Pakistan 18
MA - Marocco 17
CO - Colombia 16
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
PY - Paraguay 7
CL - Cile 6
EG - Egitto 6
ET - Etiopia 5
IR - Iran 5
MY - Malesia 5
NP - Nepal 5
PE - Perù 5
TN - Tunisia 5
BO - Bolivia 4
CZ - Repubblica Ceca 4
JO - Giordania 4
KZ - Kazakistan 4
LB - Libano 4
AZ - Azerbaigian 3
BG - Bulgaria 3
CR - Costa Rica 3
GT - Guatemala 3
LT - Lituania 3
PA - Panama 3
RO - Romania 3
RS - Serbia 3
TH - Thailandia 3
AL - Albania 2
AU - Australia 2
BA - Bosnia-Erzegovina 2
BE - Belgio 2
CY - Cipro 2
EE - Estonia 2
EU - Europa 2
GR - Grecia 2
HN - Honduras 2
HU - Ungheria 2
KG - Kirghizistan 2
LU - Lussemburgo 2
MN - Mongolia 2
NG - Nigeria 2
NO - Norvegia 2
OM - Oman 2
PS - Palestinian Territory 2
QA - Qatar 2
SN - Senegal 2
AO - Angola 1
BH - Bahrain 1
BJ - Benin 1
BY - Bielorussia 1
CG - Congo 1
DM - Dominica 1
DO - Repubblica Dominicana 1
GA - Gabon 1
GD - Grenada 1
GH - Ghana 1
HR - Croazia 1
KH - Cambogia 1
LI - Liechtenstein 1
MD - Moldavia 1
Totale 28.357
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Città #
Hong Kong 14.615
Ann Arbor 1.489
San Jose 590
Singapore 574
Jacksonville 509
Chandler 489
Wilmington 472
Houston 457
Woodbridge 430
Princeton 414
Dallas 362
Ashburn 326
Salerno 274
Council Bluffs 155
Dublin 146
Beijing 135
Nanjing 124
Lauterbourg 111
Ho Chi Minh City 105
Andover 98
Dong Ket 98
The Dalles 95
Moscow 78
Rome 78
Hanoi 66
Pellezzano 62
Munich 52
Boardman 50
Izmir 45
Naples 43
Redwood City 42
Dearborn 39
São Paulo 39
Nanchang 36
Orem 36
Hebei 35
Los Angeles 35
Fairfield 34
New York 34
Shenyang 32
Tokyo 32
Napoli 31
Changsha 29
Norwalk 28
Jiaxing 27
Santa Clara 24
Annecy 23
Mestre 23
Frankfurt am Main 20
Guangzhou 20
Tianjin 20
Warsaw 20
Chennai 19
Jinan 19
Marcianise 19
Da Nang 17
Helsinki 17
Ottawa 17
Caserta 16
Fisciano 16
Amsterdam 15
Stockholm 15
Turku 14
Baghdad 13
Chicago 13
Denver 13
Washington 13
Cambridge 12
Düsseldorf 12
Seattle 12
Shanghai 12
Haiphong 11
Johannesburg 11
Mexico City 11
Nuremberg 11
Poplar 11
Tashkent 11
Atlanta 10
Montreal 10
Mumbai 10
Ankara 9
Ariano Irpino 9
Basingstoke 9
Belo Horizonte 9
Boston 9
Brasília 9
Des Moines 9
London 9
Pune 9
Rio de Janeiro 9
San Diego 9
Castel San Lorenzo 8
Chengdu 8
Guarulhos 8
Manchester 8
Milan 8
Montevideo 8
Phoenix 8
Stella Cilento 8
Wuhan 8
Totale 23.752
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Nome #
Bootsrap variance estimates for neural networks regression models 1.333
Clustering and classification of spatio-temporal data using spatial dynamic panel data models 1.283
Clustering Complex Time Series Databases 714
Neural Networks for bandwidth selection in non-parametric derivative estimation 612
Input Variable Selection in Neural Network Models 597
Forecasting non linear time series: empirical evidences on financial data 596
A Model-Free Screening Selection Approach by Local Derivative Estimation 585
Local or global smoothing? A bandwidth selector for dependent data 505
Neural Networks and Bootstrap Methods for Regression Models with Dependent Errors 486
A locally adaptive bandwidth selector for kernel based regression 480
Local polynomial and neural network estimators for the analysis of financial data 478
Estimating the conditional Mean of a Non Linear Time Series using Neural Networks 475
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach 470
Value-at-Risk Inference with NN Sieve bootstrap 464
Ranking-Based Variable Selection for the Default Risk of Bank Loan Holders 447
Un criterio di inizializzazione per reti neurali nell'analisi del trend 443
Neural Networks in nonparametric derivative estimation 421
Testing spatial dynamic panel data models with heterogeneous spatial and regression coefficients 409
Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction 403
Efficient nonparametric estimation and inference for the volatility function 399
Bootstrap Variable Selection in Neural Network Regression Models 396
Processi Stocastici ed Inferenza Statistica 384
Estimating smooth functions of sample mean in diffusion processes: a MBB approach 382
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 382
Clustering and Testing Financial Asset Returns Using the Spatial Dynamic Panel Data Model 343
Bootstrap Variable Selection in Neural Network Regression Models 341
Bootstrap prediction intervals with neural networks in nonlinear time series 330
Estimation the asymptotic variance of kernel smoothers for dependent data 325
Neural network sieve bootstrap for nonlinear time series 310
Le reti neurali per la previsione di serie storiche: aspetti metodologici ed evidenze empiriche su dati idrologici 283
Industrial District in the South of Italy AREA (LLMA): Method and First results 275
Local Polynomials for Variable Selection 258
A Variable Selection Method for High-Dimensional Survival Data 258
Unit Root Testing in Presence of a Double Threshold Process 240
Variable Selection in Estimating Bank Default 240
Multiple Testing for Different Structures of Spatial Dynamic Panel Data Models 237
A new procedure for variable selection in presence of rare events 226
Probabilistic properties of Self Exciting Threshold Autoregressive processes. 221
A modified Conditional Least Squares estimator for parameters in a class of bilinear models 219
GRID: A Variable selection and structure discovery method for high dimensional nonparametric regression 219
Screening covariates in presence of unbalanced binary dependent variable 217
The Univariate Distribution function for a particular Bilinear Model 212
Parametric and Non-parametric methods in non-linear time series analysis: a critical evaluation 206
Linear and nonlinear effects explaining the risk of Covid-19 infection: an empirical analysis on real data from the USA 205
STRUCTURE DISCOVERING IN NONPARAMETRIC REGRESSION BY THE GRID PROCEDURE 199
Financial Time Series Classification by Nonparametric Trend Estimation 199
A nonparametric approach for nonlinear variable screening in high-dimensions 194
Bootstrap variable selection in neural network regression models 193
Neural networks as Series estimators: A Statistical Interpretation of the Hidden Layer Size 192
Clustering complex time-series databases by using periodic components 189
On the estimation in continuous limit of GARCH processes 187
A simulation study for the evaluation of the seasonal adjustment and forecasting performances of the TESS system 182
Bias-corrected inference for multivariate nonparametric regression: Model selection and oracle property 181
Weak Consistent Moving Block Bootstrap of sampling distribution of CLS Estimators in a class of bilinear models 175
Linear approximation of nonlinear threshold models 174
Detecting cycles in Complex Time Series Databases 173
Statistical modelling of complex time series 168
Bootstrap Variance Estimates for Neurl Networks Regression Models 164
“Industrial District in the South of Italy. A new databank for the analysis of the Local Labour Market” 164
Bootstrap Prediction Intervals with Neural Networks in Nonlinear Time Series 155
Properties of the neural network sieve bootstrap 153
Neural Network Sieve Bootstrap For Resampling Hydrological Time Series 151
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence 151
Detecting Short-Term Cycles in Complex Time Series Databases 149
TESTING DIFFERENT STRUCTURES OF SPATIAL DYNAMIC PANEL DATA MODELS 149
Campionamento e questionario 148
NEURAL NETWORKS FOR BANDWIDTH SELECTION IN LOCAL LINEAR REGRESSION FOR TIME SERIES 147
Threshold random walk structures in finance 147
Macroeconomic Time Series Classification by Nonparametric Trend Estimation 146
Variable ranking and data reduction in GLM domain 146
Neural Network Sieve Bootstrap for Nonlinear Time Series 146
Proprietà asintotiche degli stimatori neurali nel modello di regressione non parametrico 146
Nonparametric estimation of volatility functions: Some experimental evidences 146
Osservatorio sulle imprese della provincia di Salerno: una nuova banca dati per l'analisi dei sistemi locali del lavoro, metodi e primi risultati 142
The Univariate Distribution function for a particular Bilinear Model 141
Le reti neurali artificiali nell'analisi delle serie storiche 137
Kernel based methods for volatility modelling: the problem of bandwidth selection 136
Parameter estimation in continuous stochastic volatility models 135
Standard error estimation in neural network regression models: the moving block bootstrap approach 133
Global adaptive smoothing regression 128
Ranking-Based Variable Selection for ultra-high dimensional data in GLM framework 126
CLS asymptotic variance for a particular relevant bilinear time series model 124
Periodical feature based time series clustering 124
Local Polynomial estimators vs Neural Networks: some empirical evidences 123
A two-step adaptive bandwidth selector for kernel based regression of dependent data 123
Neural network sieve bootstrap for nonlinear time series 121
On the stationarity of the Threshold Autoregressive process: the two regimes case 120
Parametric and npn-parametric methods in non linear time series analysis: a critical evaluation 119
A note on the linear approximation of TAR models 119
Clustering production indexes for construction with forecast distributions 119
A nonparametric procedure for linear and nonlinear variable screening 119
Moving Block Bootstrap for a Class of Bilinear Models 117
Clustering nonlinear time series with neural network bootstrap forecast distributions 117
The hidden layer size in feed-forward neural networks: a statistical point of view 115
Variable selection and classification by the GRIDprocedure 115
GRID for variable selection in high dimensional regression 114
Bootstrap prediction intervals for weighted TAR predictors 114
Testing Clusters of Locations in Spatial Dynamic Panel Data models 113
Large Sample properties of Neural estimators in a regression model with phi-mixing errors 113
On the RODEO method for variable selection 111
Totale 26.441
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Categoria #
all - tutte 59.682
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 59.682
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021262 0 0 0 0 0 0 0 0 0 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
2025/202618.707 2.009 7.724 5.661 399 609 312 871 183 305 634 0 0
Totale 28.611