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subject:"Time series analysis"
~type_genre:"Aufsatz in Zeitschrift"
~person:"Teräsvirta, Timo"
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1
Forecasting macroeconomic variables using neural network models and three automated model selection techniques
Kock, Anders Bredahl
;
Teräsvirta, Timo
- In:
Econometric reviews
35
(
2016
)
8/10
,
pp. 1753-1779
Persistent link: https://www.econbiz.de/10011592391
Saved in:
2
Discussion of the paper "Forecasting performance of three automated modeling techniques during the economic crisis 2007 - 2009" by A. Kock and T. Teräsvirta
Dubois, Eric
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 632-634
Persistent link: https://www.econbiz.de/10010514784
Saved in:
3
Forecasting performances of three automated modelling techniques during the economic crisis : 2007 - 2009
Kock, Anders Bredahl
;
Teräsvirta, Timo
- In:
International journal of forecasting
30
(
2014
)
3
,
pp. 616-631
Persistent link: https://www.econbiz.de/10010514786
Saved in:
4
Building neural network models for time series : a statistical approach
Medeiros, Marcelo C.
;
Teräsvirta, Timo
;
Rech, Gianluigi
- In:
Journal of forecasting
25
(
2006
)
1
,
pp. 49-75
Persistent link: https://www.econbiz.de/10003268447
Saved in:
5
Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series : a re-examination
Teräsvirta, Timo
;
Dijk, Dick van
;
Medeiros, Marcelo C.
- In:
International journal of forecasting
21
(
2005
)
4
,
pp. 755-774
Persistent link: https://www.econbiz.de/10003150707
Saved in:
6
Comments on "Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series : a re-examination
Novales, Alfonso
- In:
International journal of forecasting
21
(
2005
)
4
,
pp. 775-780
Persistent link: https://www.econbiz.de/10003150708
Saved in:
7
Reply: [Comments on "Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series : a re-examination]
Teräsvirta, Timo
;
Dijk, Dick van
;
Medeiros, Marcelo C.
- In:
International journal of forecasting
21
(
2005
)
4
,
pp. 781-783
Persistent link: https://www.econbiz.de/10003150710
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