Time Series Analysis for the COMEX Copper Spot Price by Using Support Vector Regression. - Esperanza García Gonzalo; Paulino José García Nieto; Javier Gracia Rodríguez; Fernando Sánchez Lasheras; Gregorio Fidalgo Valverde (SOCO, 2020)

A Multivariate Approach to Time Series Forecasting of Copper Prices with the Help of Multiple Imputation by Chained Equations and Multivariate Adaptive Regression Splines. - Fernando Sánchez Lasheras; Javier Gracia Rodríguez; Paulino José García Nieto; Esperanza García Gonzalo; Gregorio Fidalgo Valverde (SOCO, 2020)

Copper Price Time Series Forecasting by Means of Generalized Regression Neural Networks with Optimized Predictor Variables. - Gregorio Fidalgo Valverde; Alicja Krzemien; Pedro Riesgo Fernández; Francisco Javier Iglesias-Rodríguez; Ana Suárez Sánchez (SOCO, 2020)

Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques. - Esperanza García Gonzalo; Paulino José García Nieto; Gregorio Fidalgo Valverde; Pedro Riesgo Fernández; Fernando Sánchez Lasheras (SOCO, 2021)

Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines. - Fernando Sánchez Lasheras; Paulino José García Nieto; Esperanza García Gonzalo; Gregorio Fidalgo Valverde; Alicja Krzemien (SOCO, 2021)

A support vector regression model for time series forecasting of the COMEX copper spot price. - Esperanza García Gonzalo; Paulino José García Nieto; Javier Gracia Rodríguez; Fernando Sánchez Lasheras; Gregorio Fidalgo Valverde (Log. J. IGPL, 2023)