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 Electronic Journal of Probability > Vol. 10 (2005) > Paper 20 open journal systems 


Quadratic Variations along Irregular Subdivisions for Gaussian Processes

Arnaud Begyn, Laboratoire de statistiques et probabilites, Université Paul Sabatier, Fra


Abstract
In this paper we deal with second order quadratic variations  along general  subdivisions for processes with Gaussian increments. These have almost surely a deterministic limit under conditions on the mesh of the subdivisions. This limit depends on the singularity function of the process  
and on the structure of the subdivisions too. Then we illustrate the results  
with the example of the time-space deformed fractional Brownian motion and we
present some simulations.  



Full text: PDF

Pages: 691-717

Published on: July 13, 2005


Bibliography
TITLE HERE
Adler, Robert J. The geometry of random fields. Wiley Series in Probability and Mathematical Statistics. John Wiley & Sons, Ltd., Chichester, 1981. xi+280 pp. ISBN: 0-471-27844-0 MR0611857 (82h:60103)

Baxter, Glen. A strong limit theorem for Gaussian processes. Proc. Amer. Math. Soc. 7 (1956), 522--527. MR0090920 (19,890f)

Benassi, Albert; Cohen, Serge; Istas, Jacques; Jaffard, Stéphane. Identification of filtered white noises. Stochastic Process. Appl. 75 (1998), no. 1, 31--49. MR1629014 (99e:60104)

Benassi, Albert; Jaffard, Stéphane; Roux, Daniel. Elliptic Gaussian random processes. Rev. Mat. Iberoamericana 13 (1997), no. 1, 19--90. MR1462329 (98k:60056)

Wood, Andrew T. A.; Chan, Grace. Simulation of stationary Gaussian processes in $[0,1]sp d$. J. Comput. Graph. Statist. 3 (1994), no. 4, 409--432. MR1323050 (95k:65009)

Cheridito, Patrick; Kawaguchi, Hideyuki; Maejima, Makoto. Fractional Ornstein-Uhlenbeck processes. Electron. J. Probab. 8 (2003), no. 3, 14 pp. (electronic). MR1961165 (2003m:60096)

Coeurjolly, Jean-François. Inférence statistique pour les mouvements Brownien
fractionnaires et multifractionnaires. (French) PhD thesis, Université Joseph Fourier Grenoble I (2000).

Coeurjolly, Jean-François. Estimating the parameters of a fractional Brownian motion by discrete variations of its sample paths. Stat. Inference Stoch. Process. 4 (2001), no. 2, 199--227. MR1856174 (2002h:62265)

Cohen, Serge; Guyon, Xavier; Perrin, Olivier; Pontier,Monique. Singularity functions for fractional processes, and application to
fractional Brownian sheet. Preprint.

Dudley, R. M. Sample functions of the Gaussian process. Ann. Probability 1 (1973), no. 1, 66--103. MR0346884 (49 #11605)

Gladyv sev, E. G. A new limit theorem for stochastic processes with Gaussian increments. (Russian) Teor. Verojatnost. i Primenen 6 1961 57--66. MR0145574 (26 #3104)

Guyon, Xavier; León, José. Convergence en loi des $H$-variations d'un processus gaussien stationnaire sur $R$. (French) [Convergence in law of the $H$-variations of a stationary Gaussian process in $R$] Ann. Inst. H. Poincaré Probab. Statist. 25 (1989), no. 3, 265--282. MR1023952 (91d:60053)

Hanson, D. L.; Wright, F. T. A bound on tail probabilities for quadratic forms in independent random variables. Ann. Math. Statist. 42 1971 1079--1083. MR0279864 (43 #5585)

Istas, Jacques; Lang, Gabriel. Quadratic variations and estimation of the local Hölder index of a Gaussian process. Ann. Inst. H. Poincaré Probab. Statist. 33 (1997), no. 4, 407--436. MR1465796 (98e:60057)

Klein, Ruben; Giné, Evarist. On quadratic variation of processes with Gaussian increments. Ann. Probability 3 (1975), no. 4, 716--721. MR0378070 (51 #14239)

Lamperti, John. Semi-stable stochastic processes. Trans. Amer. Math. Soc. 104 1962 62--78. MR0138128 (25 #1575)

Lévy, Paul. Le mouvement brownien plan. (French) Amer. J. Math. 62, (1940). 487--550. MR0002734 (2,107g)

















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Electronic Journal of Probability. ISSN: 1083-6489