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~isPartOf:"Energy economics"
~isPartOf:"Texto para discussão / Pontifícia Universidade Católica do Rio de Janeiro, Departamento de Economia"
~subject:"Zeitreihenanalyse"
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Zeitreihenanalyse
Neural networks
34
Neuronale Netze
34
Forecasting model
26
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26
Theorie
17
Theory
17
Oil price
13
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Time series analysis
9
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Medeiros, Marcelo C.
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Teräsvirta, Timo
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Dijk, Dick van
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Pontifícia Universidade Católica do Rio de Janeiro / Departamento de Economia
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Energy economics
Texto para discussão / Pontifícia Universidade Católica do Rio de Janeiro, Departamento de Economia
International journal of forecasting
32
Computational economics
14
Journal of forecasting
11
Risks : open access journal
7
Working papers
6
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5
European journal of operational research : EJOR
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International Journal of Energy Economics and Policy : IJEEP
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International journal of economics and finance
4
Neural networks in business forecasting
4
Working paper / Department of Econometrics and Business Statistics, Monash University
4
Advances in business and management forecasting
3
CREATES research paper
3
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3
Decision analytics journal
3
Digital finance : smart data analytics, investment innovation, and financial technology
3
Discussion paper / Tinbergen Institute
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Europäische Hochschulschriften / 5
3
Finance research letters
3
Financial innovation : FIN
3
Finanzmarktanalyse und -prognose mit innovativen quantitativen Verfahren : Ergebnisse des 5. Karlsruher Ökonometrie-Workshops
3
International journal of production research
3
Journal of business economics and management
3
Journal of modelling in management
3
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Research in international business and finance
3
Review of quantitative finance and accounting
3
SSE EFI working paper series in economics and finance
3
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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Amfiteatru economic : an economic and business research periodical
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Applications of artificial intelligence in finance and economics
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Borsa Istanbul Review
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2
Economic modelling
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ECONIS (ZBW)
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1
Local-global neural networks : a new approach for nonlinear time series modelling
Fariñas, Mayte Suarez
(
contributor
); …
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002120532
Saved in:
2
Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series : a reexamination
Teräsvirta, Timo
(
contributor
);
Dijk, Dick van
(
contributor
)
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002220582
Saved in:
3
Building neural network models for times series: a statistical approach
Medeiros, Marcelo C.
(
contributor
); …
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001695858
Saved in:
4
What are the effects of forecasting linear time series with neural networks?
Medeiros, Marcelo C.
;
Pedreira, Carlos E.
-
2001
Persistent link: https://www.econbiz.de/10001643907
Saved in:
5
Forecasting day-ahead electricity prices : a comparison of time series and neural network models taking external regressors into account
Lehna, Malte
;
Scheller, Fabian
;
Herwartz, Helmut
- In:
Energy economics
106
(
2022
),
pp. 1-15
Persistent link: https://www.econbiz.de/10013202053
Saved in:
6
Crude oil price forecasting : experimental evidence from wavelet decomposition and neural network modeling
Jammazi, Rania
;
Aloui, Chaker
- In:
Energy economics
34
(
2012
)
3
,
pp. 828-841
Persistent link: https://www.econbiz.de/10010219886
Saved in:
7
The VEC-NAR model for short-term forecasting of oil prices
Cheng, Fangzheng
;
Li, Tian
;
Wei, Yi-Ming
;
Fan, Tijun
- In:
Energy economics
78
(
2019
),
pp. 656-667
Persistent link: https://www.econbiz.de/10012160054
Saved in:
8
Interval decomposition ensemble approach for crude oil price forecasting
Sun, Shaolong
;
Sun, Yuying
;
Wang, Shouyang
;
Wei, Yunjie
- In:
Energy economics
76
(
2018
),
pp. 274-287
Persistent link: https://www.econbiz.de/10011976631
Saved in:
9
Denoising or distortion : does decomposition-reconstruction modeling paradigm provide a reliable prediction for crude oil price time series?
Xu, Kunliang
;
Niu, Hongli
- In:
Energy economics
128
(
2023
),
pp. 1-16
Persistent link: https://www.econbiz.de/10015072677
Saved in:
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