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Kernel Functions for the Support Vector Machine: Comparing Performances on Crude Oil Price Data
2 references·0 citing·12 second hopsampled
Kernel Functions for the Support Vector Machine: Comparing Performances on Crude Oil Price Data (2014)Kernel Functions for the Support Vector M…Crude oil price analysis and forecasting using wavelet decomposed ensemble model (2012)Crude oil price analysis and …The efficiency of the crude oil markets: Evidence from variance ratio tests (2009)The efficiency of the crude o…The Combination of Forecasts (1969)Empirical exchange rate models of the seventies (1983)Time series forecasting using a hybrid ARIMA and neural network model (2003)Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach (2015)A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series (2020)Forecasting: theory and practice (2022)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Efficient Capital Markets: II (1991)Efficiency of crude oil markets: Evidences from informational entropy analysis (2011)Multiscale entropy analysis of crude oil price dynamics (2011)Modelling oil price volatility with structural breaks (2012)
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References

  • 2012Crude oil price analysis and forecasting using wavelet decomposed ensemble model146 cited
  • 2009The efficiency of the crude oil markets: Evidence from variance ratio tests102 cited

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