1J. Pucheta, D. Patifio, B. Kuchen, A statistically dependent approach for the monthly rainfall forecast from one point observations, In IFIP International Federation for Information Processing Volume 294, Computer and Computing Technologies in Agriculture If, Volume 2, eds D. Li, Z. Chunjiang, Boston: Springer, 2009, pp. 787-798.
2H.D. Patifio, J.A. Pucheta, C. Schugurensky, R. Fullana, B. Kuchen, Approximate optimal control-based neurocontroller with a state observation system for seedlings growth in greenhouse, Approximate Dynamic Programming and Reinforcement Learning, ADPRL 2007, IEEE International Symposium on, 2007, pp. 318-323.
3J.N.K. Liu, R.S.T. Lee, Rainfall forecasting from multiple point sources using neural networks, in: Proc. of the International Conference on Systems, Man, and Cybernetics, 1999, pp. 429-434.
4F. Masulli, D. Baratta, G. Cicione, L. Studer, Daily rainfall forecasting using an ensemble technique based on singular spectrum analysis, in: Proceedings of the International Joint Conference on Neural Networks IJCNN 01, 2001, pp. 263-268.
5C. Bishop, Pattern Recognition and Machine Learning, Springer. Boston, 2006.
6E. Contreras, A. Eliza, El Caos y la caracterizaci6n de series de tiempo a trav6s de t6cnicas de la dinhmica no lineal, Universidad Aut6noma de Mexico, Campus Arag6n, 2004.
7V. Henao, J. David, R. Dyna, Pron6stico de la serie de Mackey glass usando modelos de regresi6n no-lineal, Universidad Aut6noma de Mexico, Campus Arag6n, 2004.
8L. Glass, M.C. Mackey, From Clocks to Chaos, The Rhythms of Life, Princeton University Press, Princeton, NJ, 1988.
9A.N. Kolmogorov, Wienersche Spiralen und einige andere interessante Kurven im Hilbertschen Raum, C. R. (Doklady) Acad. URSS (N.S.) 26 (1940) 115-118.
10W. Dai, C.C. Heyde, It6's formula with respect to fractional Brownian motion and its application, J. Appl. Math. Stochastic Anal. 9 (1996) 439-448.