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Tytuł artykułu

Level crossings and local time for regularized gaussian processes

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Języki publikacji
EN
Abstrakty
EN
Let {X<sub>t</sub>, t ∈[0, 1]} be a centred stationary Gaussian process defined on (Q, A, P) with со variance function satisfying r(t) ~ 1 — C|t|<sup>2α</sup>, 0<α<l, as t→0. Define the regularized process X<sup>ε</sup> = φ<sub>ε</sub> * X<sub>ε</sub> and Y<sup>ε</sup> = X<sup>ε</sup>/σ<sub>ε</sub>, where σ<sup2</sup><sub>ε</sub> = varX<sup>ε</sup><sub>t</sub>, is a kernel which approaches the Dirac delta function as ε→ 0 and * denotes the convolution. We study the convergence of [formula] where N<sup>v</sup>(x) and L<sub>v</sub> (x) denote, respectively, the number of crossings and the local time at level x for the process V in [0, 1] and..[formula] The limit depends on the value of α.
Słowa kluczowe
Rocznik
Strony
39--81
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
  • Université Paris XI, Laboratoire de Statistique Appliquée, Centre d’Orsay, Bat 425. 91405 Orsay Cédex
  • Depto. de Matemáticas, Facultad de Ciencias, U.C.V., Apartado 47197, Caracas 1047, Venezuela
  • IVIC-Matemáticas, Apartado 21.827, Caracas 1020-A, Venezuela
Bibliografia
  • [1] J. M. Azais et D. Florens, Approximation du temps local des processus gaussiens stationnaires par régularisation des trajectoires, Probab. Theory Related Fields 76 (1987), pp. 121-132.
  • [2] J. M. Azais and M. Wschebor, Almost sure oscillation of certain random processes, Bernoulli 2 (1996), pp. 257-270.
  • [3] S. Banach, Sur les lignes rectifiables et les surfaces dont Vaire est finie, Fund. Math. 7 (1925), pp. 225-237.
  • [4] S. M. Berman, Gaussian processes with stationary increments: local times and sample function properties, Ann. Math. Statist. 41 (1970), pp. 1260-1272.
  • [5] C. Berzin, J. R. León and J. Ortega, Level crossings and local time for regularized Gaussian processes, Prepub. d’Orsay 93.45.
  • [6] С. Berzin et M. Wschebor, Approximation du temps local des surfaces gaussiennes, Probab. Theory Related Fields 96 (1993), pp. 1-32.
  • [7] P. Billingsley, Convergence of Probability Measures, Wiley, New York 1968.
  • [8] P. Breuer and P. Major, Central limit theorems for non-linear functionals of Gaussian fields, J. Multivariate Anal. 13 (1983), pp. 425-441.
  • [9] D. Chambers and D. Slud, Central limit theorems for non-linear functionals of stationary Gaussian processes, Probab. Theory Related Fields 80 (1989), pp. 323-346.
  • [10] R. L. Dobrushin and P. Major, Non-central limit theorems for non-linear functionals of Gaussian fields, Z. Wahrsch. Verw. Gebiete 50 (1979), pp. 27-52.
  • [11] D. Florens-Zmirou, Estimation de la variance dune diffusion á partir d’une observation discrétisée, C. R. Acad. Sei. Paris 309 (1989), pp. 195-200.
  • [12] H.-Ch. Ho and Т.-Ch. Sun, Limiting distributions of non-linear vector functions of stationary Gaussian processes, Ann. Probab. 18 (1990), pp. 1159-1173.
  • [13] M. Kac, On the average number of real roots of a random algebraic equation, Bull. Amer. Math. Soc. 49 (1943), pp. 314-320.
  • [14] J. R. León and J. Ortega, Level crossings and local times for regularized Gaussian processes: L2 convergence, C. R. Acad. Sei. Paris 314 (1992), pp. 227-231.
  • [15] D. Nualart et M. Wschebor, Integration par parties dans l’espace de Wiener et approximation du temps local, Probab. Theory Related Fields 90 (1991), pp. 83-109.
  • [16] M. Wschebor, Surfaces aléatoires: mesure géométrique des ensembles de niveau, Lecture Notes in Math. 1147, Springer 1985.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ad113413-00eb-4c51-bcd7-a65f7ade5097
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