Forecasting macroeconomic variables using neural network models and three automated model selection techniques
Year of publication: |
2016
|
---|---|
Authors: | Kock, Anders Bredahl ; Teräsvirta, Timo |
Published in: |
Econometric reviews. - Philadelphia, Pa. : Taylor & Francis, ISSN 0731-1761, ZDB-ID 797463-2. - Vol. 35.2016, 8/10, p. 1753-1779
|
Subject: | Artificial neural network | Forecast comparison | Model selection | Nonlinear autoregressive model | Nonlinear time series | Root mean Square forecast error | Wilcoxon's signed-rank test | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Zeitreihenanalyse | Time series analysis | Nichtlineare Regression | Nonlinear regression | Schätztheorie | Estimation theory | Autokorrelation | Autocorrelation | Modellierung | Scientific modelling |
-
Chapter 8 Forecasting economic variables with nonlinear models
Teräsvirta, Timo, (2006)
-
Tackling large outliers in macroeconomic data with vector artificial neural network autoregression
Polito, Vito, (2021)
-
Forecast accuracy of the linear and nonlinear autoregressive models in macroeconomic modeling
Taiebnia, Ali, (2023)
- More ...
-
Kock, Anders Bredahl, (2014)
-
Forecasting performance of three automated modelling techniques during the economic crisis 2007-2009
Kock, Anders Bredahl, (2011)
-
Kock, Anders Bredahl, (2011)
- More ...