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Nonlinear combination of macroeconomic forecasts using feedforward neural network

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Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth

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Inflation forecasting using a neural network

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Feature extraction with hybrid neural networks

Wegmann, Georg - 2000

optimizer. The mathematical motivation for such hybrid networks is presented, using the Kolmogorov theory of metric entropy. As … options written on the S&P 500 stock index. While option pricing theory typically requires a highly complex statistical model …

Persistent link: https://www.econbiz.de/10010504308