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Central Limit Theorem in Hölder Spaces

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Języki publikacji
EN
Abstrakty
EN
Stochastic processes are considered within the framework of Hölder spaces Hα0 as paths spaces. Using Ciesielski's isomorphisms between Hα0 and sequences spaces via the Faber Schauder triangular functions allows us to express our basic assumptions in terms of second differences of the processes, giving more flexibility. We obtain general conditions for the existence of a version with paths in Hα0 and the tightness of sequences of random elements in these spaces. Central limit theorems in Hα0 are established and convergence rates are given with respect to Prohorov and bounded Lipschitz metrics. As an application, we study the weak Hölder convergence of the characteristic empirical process.
Rocznik
Strony
133--152
Opis fizyczny
Bibliogr. 22 poz.
Twórcy
  • Department of Mathematics, Vilnius University, Naugarduko 24, Lt-2006 Vilnius, Lithuania
autor
  • Laboratoire de Statistique et Probabilités, Bât. M2, Université des Sciences et Technologies de Lille, F-59655 Villeneuve d'Ascq, Cedex, France
Bibliografia
  • [1] V. Bentkus and F. Götze, Uniform rates of convergence in the CLT for quadratic forms in multidimensional spaces, Probab. Theory Related Fields 109 (1997), pp. 367-416.
  • [2] V. Bentkus and A. Račkauskas, Estimates of the distance between sums of independent random elements in Banach spaces, Theory Probab. Appl. 29 (1) (1985), pp. 50-65.
  • [3] Z. Ciesielski, On the isomorphisms of the spaces Hα and m, Bull. Acad. Polon. Sci. Sér. Sci. Math. Astronom. Phys. 8 (1960), pp. 217-222.
  • [4] - Hölder conditions for realizations of Gaussian processes, Trans. Amer. Math. Soc. 99 (1961), pp. 403-413.
  • [5] H. Cramér and M. R. Leadbetter, Stationary and Related Stochastic Processes, Wiley, New York-London-Sydney 1967.
  • [6] S. Csörgő, Limit behavior of the empirical characteristic function, Ann. Probab. 9 (1981), pp. 130-144.
  • [7] A. Feuerverger and R. A. Mureika, The empirical characteristic function and its applications, Ann. Statist. 5 (1977), pp. 88-97.
  • [8] D. Hamadouche, Weak convergence of smoothed empirical process in Hölder spaces, Statist. Probab. Lett. 36 (1998), pp. 393-400.
  • [9] - Invariance principles in Hölder spaces (preprint), Pub. IRMA Lille 44-VII (1998).
  • [10] I. Ibragimov, On smoothness conditions for trajectories of random functions, Theory Probab. Appl. 28 (1984), pp. 240-262.
  • [11] G. Kerkyacharian and B. Roynette, Une démonstration simple des théorèmes de Kolmogorov. Donsker et Itô-Nisio, C. R. Acad. Sci. Paris Sér. I, 312 (1991), pp. 877-882.
  • [12] J. Lamperti, On convergence of stochastic processes, Trans. Amer. Math. Soc. 104 (1962), pp. 430-435.
  • [13] M. Ledoux and M. Talagrand, Probability in Banach Spaces, Springer, Berlin-Heidelberg 1991.
  • [14] M. Marcus, Weak convergence of the empirical characteristic function, Ann. Probab. 9 (1981), pp. 194-201.
  • [15] Ph. Nobelis, Fonctions aléatoires lipschitziennes, Lecture Notes in Math. 850 (1981), pp. 38-43.
  • [16] J. P. Nolan, Continuity of stable processes, J. Multivariate Anal. 29 (1989), pp. 84-93.
  • [17] V. Paulauskas and A. Račkauskas, Approximation Theory in the Central Limit Theorem. Exact results in Banach spaces, Kluwer Academic Publishers, The Netherlands, 1989.
  • [18] J. Peetre, New thoughts on Besov spaces, Duke Univ. Math. Ser. (1976).
  • [19] A. Pietsch, Operator Ideals, North-Holland Publishing Company, Amsterdam-New York-Oxford 1980.
  • [20] G. Samorodnitsky and M. S. Taqqu, Stable Nun-Gaussian Random Processes. Stochastic Models with Infinite Variance, Chapman & Hall, New York-London 1994.
  • [21] Ch. Suquet, Tightness in Schauder decomposable Banach spaces, Trans. Amer. Math Soc., Proc. St. Petersburg Math. Soc. 5 (1996).
  • [22] A. Zygmund, Smooth functions, Duke Math. J. 12 (1945), pp. 47-76.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0872b90e-c65e-4f24-8e86-c8656971c197
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