Berger, T. (2016). A Wavelet Analysis: Forecasting Based on Decomposed Financial Returns. Journal of Forecasting, 35(5), 419-433.
Box, G. E. P., & Jenkins, G. M. (1976). Time Series Analysis: Forecasting and Control, Revised Edition. San Francisco, CA: Holden Day.
Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1994). Time Series Analysis: Forecasting and Control (3rd). Englewood Cliffs: Prentice Hall.
Conejo, A. J., Plazas, M. A., Espinola, R., & Molina, A. B. (2005). Day-ahead Electricity Price Forecasting Using the Wavelet Transform and ARIMA Models. IEEE Transactions on Power Systems, 20(2), 1035-1042.
Corinthios, M. (2009). Signals, Systems, Transforms, and Digital Signal Processing with MATLAB. Boca Raton, FL: Taylor and Francis Group, LLC CRC Press.
Daubechies, I. (1994). Ten Lectures on Wavelets. CBMS SIAM, 61, 198-202 and 254-256.
Durbin, J. (1960). The Fitting of Time Series Models. Revue de l'Institut International de Statistique, 28, 233-44.
He, K., Wang, L., Zou, Y., & Lai, K. (2014). Exchange Rate Forecasting Using Entropy Optimized Multivariate Wavelet Denoising Model. Mathematical Problems in Engineering, 2014, 1-9.
Kao, L., Chiu, C., Lu, C., & Chang, C. (2013). A Hybrid Approach by Integrating Wavelet-based Feature Extraction with MARS and SVR for Stock Index Forecasting. Decision Support Systems, 54(3), 1228-1244.
Kriechbaumer, T., Angus, A., Parsons, D., & Casado, M. (2014). An Improved Wavelet-ARIMA Approach for Forecasting Metal Prices. Resources Policy, 39, 32-41.
Levinson, N. (1946). The Wiener RMS (Root Mean Square) Error Criterion in Filter Design and Prediction. Journal of Mathematical Physics, 25, 261-278.
Misiti, M., Misiti, Y., Oppenheim, G., & Poggi, J. M. (2015). Wavelet Toolbox for Use with MATLAB, User's Guide. Natick, MA: The MathWorks.
Ortega, L., & Khashanah, K. (2014). A Neuro Wavelet Model for the Short Term Forecasting of High Frequency Time Series of Stock Returns. Journal of Forecasting, 33(2), 134-146.
Rostan, P., Belhachemi, R., & Rostan, A. (2015). Appraising the Financial Sustainability of a Pension System with Signal Processing. Estudios De Economía Aplicada, 33, 1-16.
Rostan, P., Belhachemi, R., & Racicot, F. E. (2017). Forecasting the Yield Curve with the Burg Model. Journal of Forecasting, 36(1), 91-99.
Rostan, P., & Rostan, A. (2021). Where is Saudi Arabia’s Economy Heading? International Journal of Emerging Markets, 6(8), 2009-2033.
---------- (2020a). Where is Austria’s Economy Heading? Economic and Business Review, 22(1), 105-130.
---------- (2020b). Where are Fossil Fuels Prices Heading? International Journal of Energy Sector Management, 15(2), 309-327.
---------- (2019). When will European Muslim Population Be Majority and in which Country? PSU Research Review, 3(2), 123-144.
---------- (2018a). The Versatility of Spectrum Analysis for Forecasting Financial Time Series. Journal of Forecasting, 37(3), 327-339.
---------- (2018b). Will Saudi Arabia Get Older? Will its Pension System Be Sustainable? Spectral Answers. PSU Research Review, 2(3), 189-205.
---------- (2018c). Forecasting Spanish Nominal and Real GDPs with Spectral Analysis. Estudios De Economía Aplicada, 36(1), 217-234.
---------- (2018d). Where is Greek’s Economy Heading? International Journal of Management and Applied Science (IJMAS), 4(3), 28-31.
---------- (2017). Population Projections and Pension System Sustainability. Saarbrücken: Lambert Academic Publishing.
Stoica, P., & Moses, R. (2005). Spectral Analysis of Signals. Upper Saddle River: Prentice Hall.
Tan, Z., Zhang, J., Wang, J., & Xu, J. (2010). Day-ahead Electricity Price Forecasting Using Wavelet Transform Combined with ARIMA and GARCH Models. Applied Energy, 87(11), 3606-3610.