Skip to main content

Free-Knot Spline Approximation of Fractional Brownian Motion

  • Conference paper
Monte Carlo and Quasi-Monte Carlo Methods 2006
  • 2349 Accesses

Summary

For a fractional Brownian motion B H on [0,1], we consider approximations of B H by piecewise polynomial splines. Asymptotics of minimal average error rates are established and found to be of order k -H, where k is the number of free knots used in the spline approximation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. A. Ayache and M.S. Taqqu. Rate optimality of wavelet series approximations of fractional Brownian motion. J. Fourier Anal. Appl. 9 (2003), no. 5, 451–471.

    Article  MATH  MathSciNet  Google Scholar 

  2. A. Cohen and J.-P. d'Ales. Nonlinear approximation of random functions. SIAM J. Appl. Math. 57 (1997), 518–540.

    Article  MATH  MathSciNet  Google Scholar 

  3. A. Cohen, I. Daubechies, O.G. Guleryuz, and M.T. Orchard. On the importance of combining wavelet-based nonlinear approximation with coding strategies. IEEE Trans. Inform. Theory 48 (2002), 1895–1921.

    Article  MATH  MathSciNet  Google Scholar 

  4. J. Creutzig, T. Müller-Gronbach, and K. Ritter. Free-knot spline approximation of stochastic processes. Preprint, arXiv number: math/0612313.

    Google Scholar 

  5. R. DeVore. Nonlinear approximation. Acta Numer. 8 (1998), 51–150.

    Article  MathSciNet  Google Scholar 

  6. K. Dzhaparidze and H. van Zanten. A series expansion of fractional Brownian motion. Probab. Theory Related Fields 130 (2004), no. 1, 39–55.

    Article  MATH  MathSciNet  Google Scholar 

  7. T. Kühn and W. Linde. Optimal series representation of fractional Brownian sheets. Bernoulli 8 (2002), no. 5, 669–696.

    MATH  MathSciNet  Google Scholar 

  8. M. Kon and L. Plaskota. Information-based nonlinear approximation: an average case setting. J. Complexity 21 (2005), 211–229.

    Article  MATH  MathSciNet  Google Scholar 

  9. I. Karatzas and S.E. Shreve. Brownian Motion and Stochastic Calculus, 2nd Edition, Springer-Verlag, New York, 1991.

    MATH  Google Scholar 

  10. M. Lifshits. Gaussian Random Functions. Kluwer Academic Publishers, 1995.

    Google Scholar 

  11. M. Lifshits and T. Simon. Small deviations for fractional processes. Ann. Inst. Henri Poincaré, Probab. Stat. 41 (2005), 725–752.

    Article  MATH  MathSciNet  Google Scholar 

  12. K. Ritter. Average-Case Analysis of Numerical Problems. Lect. Notes in Math. 1733, Springer-Verlag, Berlin, 2000.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Creutzig, J., Lifshits, M. (2008). Free-Knot Spline Approximation of Fractional Brownian Motion. In: Keller, A., Heinrich, S., Niederreiter, H. (eds) Monte Carlo and Quasi-Monte Carlo Methods 2006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74496-2_10

Download citation

Publish with us

Policies and ethics