LOCAL HOLDER PROPERTY AND ASYMPTOTIC SELF-SIMILAR PROCESS

  • Kim, Joo-Mok (Mathematics Section, College of General Education, Semyung University)
  • Published : 2003.05.01

Abstract

Let Y(t) be a stochastic integral process represented by Brownian motion. We show that YHt (t) is continuous in t with probability one for Molder function Ht of exponent ${\beta}$ and finally we derive asymptotic self-similar process YM (t) which converges to Yw (t).

Keywords

References

  1. IEEE Trans. Inform. Theory v.44 Some distributional properties of the continuous Wavelet transform of random Processes R. Averkamp;C. Houdre
  2. Preprint Identification and Properties of Moving Average Fractional Levy Motions A. Benassi;S. Cohen;J. Istas
  3. IEEE Trans. Infotm. Theory v.41 On the continuous Wavelet transform of second order random processes S. Cambanis;C. Houdre
  4. Preprint lacally self-similar processes and their Wavelet analysis J.E. Cavanaugh;Y. Wang;J.W. Davis
  5. Korean J. Compu. & Appl. Math. v.5 no.3 Note on extended neural network application N. Hahn;B.I. Hong;S.H. Choi
  6. Brownian motion and stochastic calculus I. Karatzas;S. E. Shreve
  7. Theory and applications Notes on effective bandwidths F. Kelly
  8. Stoahastic processes and their application v.60 Fractional ARIMA with stable innovations P. Kokoszka;M.S. Taqqu
  9. Probab. Th. Rel. Fields v.76 The law of the iterated logarithm for self-similar processes represented by multiple Wiener integrals T. Mori;H. Oodaira
  10. Probab. Th. Rel. Fields v.76 The functional iterated logarithm law for stochastic processes represented by multiple Wiener integrals T. Mori;H. Oodaira
  11. Random Variables and Stochastic Process A. Papoulis;Probability
  12. Report of research of INRIA, $N^0$ 2645 Multifractional Brownian motion: definition and preliminary results R. F. Peltier;L. Vehel
  13. Korean J. Comput. & Appl. Math. v.5 no.2 Innovation algorithm in Arma process M. Sreenivasan;K. Sumathi
  14. Journal of Statistical Planning and Inference v.99 Self-similarity index estimation via wavelets for locally self-similar processes Y. Wang;J. E. Cavanaugh;C. Song