We study the accuracy of the expected Euler characteristic approximation to the distribution of the maximum of a smooth, centered, unit variance Gaussian process f. Using a point process representation of the error, valid for arbitrary smooth processes, we show that the error is in general exponentially smaller than any of the terms in the approximation. We also give a lower bound on this exponential rate of decay in terms of the maximal variance of a family of Gaussian processes fx, derived from the original process f.
Primary Subjects: 60G15, 60G60, 53A17, 58A05
Secondary Subjects: 60G17, 62M40, 60G70
References
Adler, R. J. (1981). The Geometry of Random Fields. Wiley, Chichester.
Mathematical Reviews (MathSciNet):
MR611857
Adler, R. J. (1990). An Introduction to Continuity, Extrema and Related Topics for General Gaussian Processes. IMS, Hayward, CA.
Adler, R. J. (2000). On excursion sets, tube formulae, and maxima of random fields. Ann. Appl. Probab. 10 1--74.
Adler, R. J. and Taylor, J. E. (2005). Random Fields and Their Geometry. Birkhäuser, Boston. To appear. Most chapters currently available at ie.technion.ac.il/Adler.phtml.
Azaïs, J.-M., Bardet, J.-M. and Wschebor, M. (2002). On the tails of the distribution of the maximum of a smooth stationary Gaussian process. ESAIM Probab. Statist. 6 177--184.
Azaïs, J.-M. and Wschebor, M. (2005). On the distribution of the maximum of a Gaussian field with $d$ parameters. Ann. Appl. Probab. 15 254--278.
Brillinger, D. R. (1972). On the number of solutions of systems of random equations. Ann. Math. Statist. 43 534--540.
Mathematical Reviews (MathSciNet):
MR300329
Cao, J. and Worsley, K. J. (1999). The geometry of correlation fields with an application to functional connectivity of the brain. Ann. Appl. Probab. 9 1021--1057.
Cao, J. and Worsley, K. J. (1999). The detection of local shape changes via the geometry of Hotelling's $T\sp 2$ fields. Ann. Statist. 27 925--942.
Delmas, C. (1998). An asymptotic expansion for the distribution of the maximum of a class of Gaussian fields. C. R. Acad. Sci. Paris Sér. I Math. 327 393--397.
Federer, H. (1959). Curvature measures. Trans. Amer. Math. Soc. 93 418--491.
Mathematical Reviews (MathSciNet):
MR110078
Johansen, S. and Johnstone, I. M. (1990). Hotelling's theorem on the volume of tubes: Some illustrations in simultaneous inference and data analysis. Ann. Statist. 18 652--684.
Kratz, M. F. and Rootzén, H. (1997). On the rate of convergence for extremes of mean square differentiable stationary normal processes. J. Appl. Probab. 34 908--923.
Kuriki, S., Takemura, A. and Taylor, J. (2004). Asymptotic evaluation of the remainder of tube formula approximation to tail probabilities. Unpublished manuscript.
Kuriki, S. and Taylor, J. (2003). The tube method for Gaussian fields with inhomogeneous mean and/or variance---smooth and piecewise smooth cases. Unpublished manuscript.
Piterbarg, V. I. (1981). Comparison of distribution functions of maxima of Gaussian processes. Theory Probab. Appl. 26 687--705.
Mathematical Reviews (MathSciNet):
MR636766
Piterbarg, V. I. (1996). Asymptotic Methods in the Theory of Gaussian Processes and Fields. Amer. Math. Soc., Providence, RI. (Translated from the Russian by V. V. Piterbarg, revised by the author.)
Sun, J. (1993). Tail probabilities of the maxima of Gaussian random fields. Ann. Probab. 21 34--71.
Takemura, A. and Kuriki, S. (2004). Some results on geometry of isotropic and spherically isotropic smooth Gaussian fields. Unpublished manuscript.
Takemura, A. and Kuriki, S. (2002). On the equivalence of the tube and Euler characteristic methods for the distribution of the maximum of Gaussian fields over piecewise smooth domains. Ann. Appl. Probab. 12 768--796.
Takemura, A. and Kuriki, S. (2003). Tail probability via the tube formula when the critical radius is zero. Bernoulli 9 535--558.
Taylor, J. and Adler, R. J. (2003). Euler characteristics for Gaussian fields on manifolds. Ann. Probab. 31 533--563.
Weyl, H. (1939). On the volume of tubes. Amer. J. Math. 61 461--472.
Worsley, K. J. (1995). Boundary corrections for the expected Euler characteristic of excursion sets of random fields, with an application to astrophysics. Adv. in Appl. Probab. 27 943--959.