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On the supremum from gaussian processes over infinite horizon

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Języki publikacji
EN
Abstrakty
EN
In the paper we study the asymptotic of the tail of distribution function P(A(X,c) > x) for x→∞, where A(X, c) is the supremum of X (t)—ct over [0, ∞). In particular, X(t) is the fractional Brownian motion, a nonlinearly scaled Brownian motion or some integrated stationary Gaussian processes. For the fractional Brownian motion we give a stronger result than a recent one of Duffield and O’Connell [5].
Rocznik
Strony
83--100
Opis fizyczny
Bibliogr. 23 poz.
Twórcy
  • Mathematical Institute, University of Wroclaw, pl. Grunwaldzki 2/4, 50-384 Wrocław, Poland
  • Department of Mathematical Statistics, University of Lund, Box 118, S-221 00 Lund, Sweden
  • Mathematical Institute, University of Wroclaw, pl. Grunwaldzki 2/4, 50-384 Wrocław, Poland
Bibliografia
  • [1] R. J. Adler, An introduction to continuity, extrema, and related topics for general Gaussian processes, Inst. Math. Statist. Lecture Notes — Monograph Series, Vol. 12, Inst. Math. Statist., Hayward, CA, 1990.
  • [2] S. M. Berman, An asymptotic formula for the distribution of the maximum of Gaussian process with stationary increments, J. Appl. Probab. 22 (1985), pp. 454-460.
  • [3] — Joint continuity of the local times of Markov processes, Z. Wahrsch. verw. Gebiete 69 (1985), pp. 37-46.
  • [4] K. Dębicki and T. Rolski, A Gaussian fluid model, Queueing Systems 20 (1995), pp. 433-452.
  • [5] N. Duffield and N. O’Connell, Large deviations and overflow probabilities for general single-server queue, with applications, Math. Proc. Cambridge Philos. Soc. 118 (1995), pp. 363-374.
  • [6] M. Fedoryuk, The saddle-point method, Nauka, Moscow 1977 (in Russian).
  • [7] B. Fere bee, The tangent approximation to one-sided Brownian exit-densities, Z. Wahrsch. verw. Gebiete 61 (1982), pp. 309-366.
  • [8'] — An asymptotic expansion for one-sided Brownian exit densities, ibidem 63 (1983), pp. 1-15.
  • [9] D. Geman and J. Horowitz, Occupation densities, Ann. Probab. 8 (1980), pp. 1-67.
  • [10] Ch. Jennen, Second-order approximations to the density, mean and variance of Brownian first-exit times, ibidem 13 (1985), pp. 126-144.
  • [11] K. Klüppelberg and T. Mikоsch, Explosive Poisson shot noise processes with applications to risk reserves, Bernoulli 1 (1995), pp. 125-147.
  • [12] G. A. Korn and Т. M. Korn, Mathematical Handbook for Scientists and Engineers, McGraw-Hill, New York 1968.
  • [13] V. Kulkarni and T. Rolski, Fluid model driven by a multidimensional Ornstein-Uhlenbeck process, Technical Report No. UNC/ORДR/93-7, 1993.
  • [14] — Fluid model driven by an Ornstein-Uhlenbeck process, Probab. Eng. Inf. Sei. 8 (1994), pp. 403-417.
  • [15] W. E. Leland, M. S. Taqqu, W. Willinger and D. V. Wilson, On the self-similar nature of Ethernet traffic, IEEE/ACM Trans. Netw. 2 (1994), pp. 1-15.
  • [16] P. Levy, Random functions: General theory with special reference to Laplacian random functions, Univ. California Publ. Statist. 1 (1953), pp. 331-390.
  • [17] В. B. Mandelbrot and J. W. Van Ness, Fractional Brownian motions, fractional noises and applications, SIAM Rev. 10 (1968), pp. 422-437.
  • [18] Z. Michna, Self-similar Processes in Collective Risk Theory, Technical Report, University of Lund, Dept, of Math. Statistics, 1996.
  • [19] I. Norros, A storage model with self-similar input, Queueing Systems 16 (1994), pp. 387-396.
  • [20] V. I. Piterbarg, Asymptotic Methods in the Theory of Gaussian Processes and Fields, Transí. Math. Monographs 148, Amer. Math. Soc., Providence, R. I., 1996.
  • [21] J. R. Rice, Matrix Computations and Mathematical Software, McGraw-Hill, Tokyo 1983.
  • [22] D. Slepian, The one-sided barrier problem for Gaussian noise, Bell System Techn. J. 41 (1962), pp. 463-501.
  • [23] W. Willinger, M. S. Taqqu, R. Sherman and D. V. Wilson, Self-similarity through high-variability: statistical analysis of Ethernet LAN traffic at the source level, Proc. ACM/Sig-comm ’95 (1995).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-1ebe42ff-7d7f-4faa-b616-00cce070ba9d
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