Table of Contents
Journal of Applied Mathematics and Decision Sciences
Volume 2006, Article ID 46592, 12 pages
http://dx.doi.org/10.1155/JAMDS/2006/46592

An evolutionary recursive algorithm in selecting statistical subset neural network/VDL filtering

1Edwin L. Cox School of Business, Southern Methodist University, USA
2School of Finance and Applied Statistics, The Australian National University, Canberra, Australia
3National Graduate School of Management, The Australian National University, Canberra, Australia

Received 26 June 2005; Accepted 4 October 2005

Copyright © 2006 Andrew H. Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. R. Azimi-Sadjadi, S. Sheedvash, and F. O. Trujillo, “Recursive dynamic node creation in multilayer neural networks,” IEEE Transactions on Neural Networks, vol. 4, no. 2, pp. 242–256, 1993. View at Publisher · View at Google Scholar · View at PubMed
  2. T. J. Brailsford, J. H. W. Penm, and R. D. Terrell, “The adjustment of the Yule-Walker relations in VAR modeling: the impact of the Euro on the Hong Kong stock market,” Multinational Finance Journal, vol. 5, no. 1, pp. 35–58, 2001. View at Google Scholar
  3. G. Carayannis, D. Manolakis, and N. Kalouptsidis, “A unified view of parametric processing algorithms for prewindowed signals,” Signal Processing, vol. 10, no. 4, pp. 335–368, 1986. View at Publisher · View at Google Scholar · View at MathSciNet
  4. E. J. Hannan and M. Deistler, The Statistical Theory of Linear Systems, John Wiley & Sons, New York, 1988. View at Zentralblatt MATH · View at MathSciNet
  5. J. M. Holmes and P. A. Hutton, “‘Optimal’ model selection when the true relationship is weak and occurs with a delay,” Economics Letters, vol. 30, no. 4, pp. 333–339, 1989. View at Publisher · View at Google Scholar
  6. J. H. W. Penm, T. J. Brailsford, and R. D. Terrell, “A robust algorithm in sequentially selecting subset time series systems using neural networks,” Journal of Time Series Analysis, vol. 21, no. 4, pp. 389–412, 2000. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  7. J. H. W. Penm, J. H. Penm, and R. D. Terrell, “A note on the sequential fitting of multichannel subset autoregressions using the prewindowed case,” IEEE Transactions on Signal Processing, vol. 43, no. 1, pp. 322–327, 1995. View at Publisher · View at Google Scholar
  8. J. H. W. Penm and R. D. Terrell, “Multivariate subset autoregressive modelling with zero constraints for detecting ‘overall causality’,” Journal of Econometrics, vol. 24, no. 3, pp. 311–330, 1984. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  9. C. A. Petri, “Introduction to general net theory,” in Net Theory and Applications (Proceedings of Adv. Course General Net Theory Processes Systems, Hamburg, 1979), vol. 84 of Lecture Notes in Computer Science, pp. 1–19, Springer, Berlin, 1980. View at Google Scholar · View at MathSciNet