Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network-Reference-Cited by-同舟云学术

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Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network

Published:2019-04-08 Issue:3 Volume:33 Page:383-404
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Yolcu Ufuk¹,Egrioglu Erol²,Bas Eren²,Yolcu Ozge Cagcag³,Dalar Ali Zafer²

Affiliation:

1. Faculty of Economics and Administrative Sciences, Department of Econometrics, Forecast Research Laboratory, Giresun University, Giresun, Turkey

2. Faculty of Arts and Science, Department of Statistics, Forecast Research Laboratory, Giresun University, Giresun, Turkey

3. Faculty of Engineering, Department of Industrial Engineering, Forecast Research Laboratory, Giresun University, Giresun, Turkey

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2019.1595167

Reference64 articles.

1. Forecasting nonlinear time series with a hybrid methodology

2. A neurofuzzy algorithm for learning from complex granules

3. The Box–Jenkins analysis and neural networks: prediction and time series modelling

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