Consider a Gaussian random field with a finite
Karhunen--Loève expansion of the form
$Z(u) = \sum_{i=1}^n u_i z_i$, where
$z_i$, $i=1,\ldots,n,$ are independent standard normal variables and
$u=(u_1,\ldots,u_n)'$ ranges over an index set $M$, which is a subset
of the unit sphere $S^{n-1}$ in $R^n$. Under a very general assumption
that $M$ is a manifold with a piecewise smooth boundary,
we prove the validity and the equivalence of
two currently available methods for obtaining
the asymptotic expansion of the tail probability of
the maximum of $Z(u)$. One is the tube method, where
the volume of the tube around the index set $M$ is evaluated.
The other is the Euler characteristic method, where the expectation
for the Euler characteristic of the excursion set is evaluated.
General discussion on this equivalence was given in a recent
paper by R. J. Adler.
In order to show the equivalence we prove a version of
the Morse theorem for a manifold with a piecewise smooth boundary.
References
ADLER, R. J. (1981). The Geometry of Random Fields. Wiley, Chichester.
ADLER, R. J. (2000). On excursion sets, tube formulas and maxima of random fields. Ann. Appl. Probab. 10 1-74.
FEDERER, H. (1959). Curvature measures. Trans. Amer. Math. Soc. 93 418-491.
Mathematical Reviews (MathSciNet):
MR22:961
FU, J. H. G. (1989). Curvature measures and generalized Morse theory. J. Differential Geom. 30 619-642.
HOTELLING, H. (1939). Tubes and spheres in n-spaces, and a class of statistical problems. Amer. J. Math. 61 440-460.
JOHANSEN, S. and JOHNSTONE, I. (1990). Hotelling's theorem on the volume of tubes: Some illustrations in simultaneous inference and data analysis. Ann. Statist. 18 652-684.
JOHNSTONE, I. and SIEGMUND, D. (1989). On Hotelling's formula for the volume of tubes and Naiman's inequality. Ann. Statist. 17 184-194.
KNOWLES, M. and SIEGMUND, D. (1989). On Hotelling's approach to testing for a nonlinear parameter in regression. Internat. Statist. Rev. 57 205-220.
KURIKI, S. and TAKEMURA, A. (1999). Distribution of the maximum of Gaussian random field: tube method and Euler characteristic method. Proc. Inst. Statist. Math. 47 199-219 (in Japanese).
KURIKI, S. and TAKEMURA, A. (2000a). Some geometry of the cone of nonnegative definite matrices and weights of associated ¯ 2 distribution. Ann. Inst. Statist. Math. 52 1-14.
KURIKI, S. and TAKEMURA, A. (2000b). Shrinkage estimation towards a closed convex set with a smooth boundary. J. Multivariate Anal. 75 79-111.
KURIKI, S. and TAKEMURA, A. (2001). Tail probabilities of the maxima of multilinear forms and their applications. Ann. Statist. 29 328-371.
MILNOR, J. (1963). Morse Theory. Princeton Univ. Press.
Mathematical Reviews (MathSciNet):
MR29:634
MORSE, M. and CAIRNS, S. S. (1969). Critical Point Theory in Global Analy sis and Differential Topology. Academic Press, New York.
NAIMAN, D. Q. (1986). Conservative confidence bands in curvilinear regression. Ann. Statist. 14 896-906.
PITERBARG, V. I. (1996). Asy mptotic Methods in the Theory of Gaussian Processes and Fields. Amer. Math. Soc. Providence, RI.
SANTALÓ, L. A. (1976). Integral Geometry and Geometric Probability. Addison-Wesley, London.
SCHNEIDER, R. (1993). Convex Bodies: The Brunn-Minkowski Theory. Cambridge Univ. Press.
SHAPIRO, A. (1987). A conjecture related to chi-bar-squared distributions. Amer. Math. Monthly 94 46-48.
SHAPIRO, A. (1988). Towards a unified theory of inequality constrained testing in multivariate analysis. Internat. Statist. Rev. 56 49-62.
STOy AN, D., KENDALL, W. S. and MECKE, J. (1995). Stochastic Geometry and its Applications, 2nd ed. Wiley, Chichester.
SUN, J. (1993). Tail probabilities of the maxima of Gaussian random fields. Ann. Probab. 21 34-71.
TAKEMURA, A. and KURIKI, S. (1997). Weights of ¯ 2 distribution for smooth or piecewise smooth cone alternatives. Ann. Statist. 25 2368-2387.
TAKEMURA, A. and KURIKI, S. (2000). Tail probability via tube formula when critical radius is zero. Unpublished manuscript.
WEy L, H. (1939). On the volume of tubes. Amer. J. Math. 61 461-472.
WORSLEY, K. J. (1995a). Estimating the number of peaks in a random field using the Hadwiger characteristic of excursion sets, with applications to medical images. Ann. Statist. 23 640- 669.
WORSLEY, K. J. (1995b). Boundary corrections for the expected Euler characteristic of excursion sets of random fields, with an application to astrophysics. Adv. Appl. Probab. 27 943-959.