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~isPartOf:"International journal of forecasting"
~subject:"Bayesian inference"
~subject:"Neuronale Netze"
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International journal of forecasting
Technological forecasting & social change : an international journal
5
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
3
Journal of econometrics
3
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1
Testing
big
data
in a big crisis : nowcasting under Covid-19
Barbaglia, Luca
;
Frattarolo, Lorenzo
;
Onorante, Luca
; …
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1548-1563
Persistent link: https://www.econbiz.de/10014465326
Saved in:
2
Forecasting GDP growth rates in the United States and Brazil using Google Trends
Bantis, Evripidis
;
Clements, Michael P.
;
Urquhart, Andrew
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1909-1924
Persistent link: https://www.econbiz.de/10014465341
Saved in:
3
Online
big
data
-driven oil consumption forecasting with Google trends
Yu, Lean
;
Zhao, Yaqing
;
Tang, Ling
;
Yang, Zebin
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 213-223
Persistent link: https://www.econbiz.de/10012300673
Saved in:
4
Data-based priors for vector error correction models
Prüser, Jan
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 209-227
Persistent link: https://www.econbiz.de/10014462776
Saved in:
5
Recurrent Neural Networks for time series forecasting : Current status and future directions
Hewamalage, Hansika
;
Bergmeir, Christoph
;
Bandara, Kasun
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 388-427
Persistent link: https://www.econbiz.de/10012693081
Saved in:
6
Macroeconomic forecasting with large Bayesian VARs : global-local priors and the illusion of sparsity
Cross, Jamie
;
Hou, Chenghan
;
Poon, Aubrey
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 899-915
Persistent link: https://www.econbiz.de/10012497058
Saved in:
7
DeepAR : probabilistic forecasting with autoregressive recurrent networks
Salinas, David
;
Flunkert, Valentin
;
Gasthaus, Jan
; …
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 1181-1191
Persistent link: https://www.econbiz.de/10012498611
Saved in:
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