Abstract
We introduce a general method, which combines the one developed by authors in 1997 and one derived from the work of Malevich,(17) Cuzick(7) and mainly Berman,(3) to provide in an easy way a CLT for level functionals of a Gaussian process, as well as a CLT for the length of a level curve of a Gaussian field.
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REFERENCES
Adler, R. (1981). The Geometry of Random Fields, Wiley.
Arcones, M. (1994). Limit theorems for non-linear functionals of a stationary Gaussian sequence of vectors. Ann. Probab. 22, 2242–2274.
Berman, S. (1992). A Central Limit Theorem for the renormalized self-intersection local time of a stationary vector Gaussian process. Ann. Probab. 20, 61–81.
Berzin, C., et Wschebor, M. (1993). Approximation du temps local des surfaces gaussiennes. Probab. Theory Relat. Fields 96, 1–32.
Breuer, J., and Major, P. (1983). Central limit theorems for non-linear functionals of Gaussian fields. J. Mult. Anal. 13, 425–444.
Cramér, H., and Leadbetter, M. R. (196). Stationary andRelatedStochastic Processes, Wiley, New York.
Cuzick, J. (1976). A central limit theorem for the number of zeros of a stochastic processes. Ann. Probab. 4, 547–556.
Federer, H. (1969). Geometric Measure Theory, Springer Verlag, Berlin/New York.
Geman, D. (1972). On the variance of the number of zeros of a stationay Gaussian process. Ann. Math. Stat. 43, 977–982.
Giraitis, L., and Surgailis, D. (1985). CLT and other limit theorems for functionals of Gaussian processes. Z. Wahrsch. Geb. 70, 191–212.
Ho, H. C., and Sun, T. C. (1985). On central and non-central limit theorems for nonlinear functions of a stationary Gaussian Process. In Dependance in Probability and Statistics, Oberwolfach, pp. 3–19.
Hoeffding, W., and Roobins, H. (1948). The Central Limit Theorem for dependent random variables. Duke Math. J. 15, 773–780.
Imkeller, P., Perez-Abreu, V., and Vives, J. (1995). Chaos expansions of double intersection local time of Brownian motion in R d and renormalization. Stoch. Proc. Applic. 56, 1–34.
Iribarren, I. (1989). Asymptotic behaviour of the integral of a function on the level set of a mixing random field. Probab. Math. Statistics 10, No. 1, 45–56.
Kratz, M., and León, J. (1997). Hermite polynominal expansion for non-smooth functionals of stationary Gaussian processes: Crossings and extremes. Stoch. Proc. Applic. 66, 237–252.
Kratz, M., and León, J. (1998). Central limit theorems for the number of maxima and some estimator of the second spectral moment of a stationary Gaussian process. Applications in hydroscience, to appear in Extremes.
Malevich, T. (1969). Asymptotic normality of the number of crossings of level 0 by a Gaussian process. Theory Probab. Applic. 14, 287–295.
Slud, E. (1991). Multiple WienerûItô integral expansions for level-crossing-count functionals. Prob. Th. Rel. Fields. 87, 349–364.
Slud, E. (1994). MWI representation of the number of curve-crossings by a differentiable Gaussian process, with applications. Ann. Probab. 22, 1355–1380.
Taqqu, M. (1977). Law of the Iterated Logarithm for Sums of Non-Linear Functions of Gaussian Variables that Exhibit a Long Range Dependence. Z. Wahrsch. V. G. 40, 203–238.
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Kratz, M.F., León, J.R. Central Limit Theorems for Level Functionals of Stationary Gaussian Processes and Fields. Journal of Theoretical Probability 14, 639–672 (2001). https://doi.org/10.1023/A:1017588905727
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DOI: https://doi.org/10.1023/A:1017588905727