Free Access
Issue
ESAIM: PS
Volume 8, August 2004
Page(s) 132 - 149
DOI https://doi.org/10.1051/ps:2004005
Published online 15 September 2004
  1. J. Beirlant and D.M. Mason, On the asymptotic normality of the Lp-norm of empirical functional. Math. Methods Statist. 4 (1995) 1–19. [MathSciNet] [Google Scholar]
  2. C. Berzin-Joseph, J.R. León and J. Ortega, Non-linear functionals of the Brownian bridge and some applications. Stoch. Proc. Appl. 92 (2001) 11–30. [CrossRef] [Google Scholar]
  3. P. Brugière, Théorème de limite centrale pour un estimateur non paramétrique de la variance d'un processus de diffusion multidimensionnelle. Ann. Inst. Henri Poincaré, Probab. Stat. 29 (1993) 357–389. [Google Scholar]
  4. P.D. Ditlevsen, S. Ditlevsen and K.K. Andersen, The fast climate fluctuations during the stadial and interstadial climate states. Ann. Glaciology 35 (2002). [Google Scholar]
  5. P. Doukhan, J.R. León and F. Portal, Calcul de la vitesse de convergence dans le théorème central limite vis-à-vis des distances de Prohorov, Dudley et Lévy dans le cas de v. a. dépendantes. Probab. Math. Statist. 6 (1985) 19–27. [MathSciNet] [Google Scholar]
  6. V. Genon-Catalot, C. Laredo and D. Picard, Non-parametric estimation of the diffusion coefficient by wavelets methods. Scand. J. Statist. 19 (1992) 317–335. [MathSciNet] [Google Scholar]
  7. I.J. Gihman and A.V. Skorohov, Stochastic differential equations. Springer-Verlag, Berlin, New York (1972). [Google Scholar]
  8. E. Giné, D. Mason and Yu. Zaitsev, The L1-norm density estimator process. To appear in Ann. Prob. [Google Scholar]
  9. A. Gloter, Parameter estimation for a discrete sampling of an integrated Ornstein-Uhlenbeck process. Statistics 35 (2000) 225–243. [CrossRef] [Google Scholar]
  10. J. Jacod, On continuous conditional martingales and stable convergence in law, sémin. Probab. XXXI, LNM 1655, Springer (1997) 232–246. [Google Scholar]
  11. P. Major, Multiple Wiener-Itô integrals. Springer-Verlag, New York, Lect. Notes Math. 849 (1981). [Google Scholar]
  12. G. Perera and M. Wschebor, Crossings and occupation measures for a class of semimartingales. Ann. Probab. 26 (1998) 253–266. [CrossRef] [MathSciNet] [Google Scholar]
  13. G. Perera and M. Wschebor, Inference on the variance and smoothing of the paths of diffusions. Ann. Inst. Henri Poincaré, Probab. Stat. 38 (2002) 1009–1022. [Google Scholar]
  14. E. Rio, About the Lindeberg method for strongly mixing sequences. ESAIM: PS 1 (1995) 35–61. [CrossRef] [EDP Sciences] [Google Scholar]
  15. H.P. Rosenthal, On the subspaces of Lp, (p > 2) spanned by sequences of independent random variables. Israël Jour. Math. 8 (1970) 273–303. [CrossRef] [MathSciNet] [Google Scholar]
  16. V.V. Shergin, On the convergence rate in the central limit theorem for m-dependent random variables. Theor. Proba. Appl. 24 (1979) 782–796. [CrossRef] [Google Scholar]
  17. P. Soulier, Non-parametric estimation of the diffusion coefficient of a diffusion process. Stoch. Anal. Appl. 16 (1998) 185–200. [CrossRef] [MathSciNet] [Google Scholar]
  18. G. Terdik, Bilinear Stochastic Models and Related problems of Nonlinear Time Series. Springer-Verlag, New York, Lect. Notes Statist. 142 (1999). [Google Scholar]

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