Téléchargements - Séries temporelles
Nombre de téléchargements durant la période

Période : Total :: Année :: Mois :: Jour

Objet
Title : Forecasting Large Datasets with Conditionally Heteroskedastic Dynamic Common Factors
Entry Date : 19-03-2010

Téléchargements
Year Downloads
2010 1.0
2011 14.0
2012 4.0
2013 1.0
2014 7.0
2015 26.0
2016 23.0
2017 12.0
2018 32.0
2019 103.0
2020 51.0
2021 46.0
2022 20.0
2023 82.0
2024 77.0
499.0

Téléchargements par année
Téléchargements par pays
Origin Downloads Perc.(%)
United States United States 137.0 28.31
Sweden Sweden 98.0 20.25
N/A N/A 87.0 17.98
Germany Germany 58.0 11.98
China China 20.0 4.13
United Kingdom United Kingdom 12.0 2.48
Spain Spain 8.0 1.65
Italy Italy 8.0 1.65
Netherlands Netherlands 4.0 0.83
Turkey Turkey 4.0 0.83
Canada Canada 4.0 0.83
Brazil Brazil 3.0 0.62
Korea, Republic of Korea, Republic of 3.0 0.62
Europe Europe 3.0 0.62
Cyprus Cyprus 3.0 0.62
Russian Federation Russian Federation 3.0 0.62
Australia Australia 2.0 0.41
Poland Poland 2.0 0.41
Hong Kong Hong Kong 2.0 0.41
Japan Japan 2.0 0.41
France France 2.0 0.41
Greece Greece 2.0 0.41
Azerbaijan Azerbaijan 2.0 0.41
United Arab Emirates United Arab Emirates 1.0 0.21
Belgium Belgium 1.0 0.21
Morocco Morocco 1.0 0.21
Ireland Ireland 1.0 0.21
Switzerland Switzerland 1.0 0.21
Chile Chile 1.0 0.21
Portugal Portugal 1.0 0.21
Philippines Philippines 1.0 0.21
New Zealand New Zealand 1.0 0.21
Denmark Denmark 1.0 0.21
Mexico Mexico 1.0 0.21
Ukraine Ukraine 1.0 0.21
Jordan Jordan 1.0 0.21
Trinidad and Tobago Trinidad and Tobago 1.0 0.21
ULB ULB 1.0 0.21
484.0 100.00

Téléchargements par pays (top 10)