Peak height distributions of Gaussian random fields and their applications in statistics

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Abstract

Motivated by computing p-values for multiple testing of local maxima in signal and change point detections, we study the height distribution of local maxima of smooth isotropic Gaussian random fields parameterized on Euclidean space or spheres. The obtained formulae hold in general in the sense that there are no restrictions on the covariance function of the field except for smoothness and isotropy. The results are
based on a characterization of the distribution of the Hessian of the Gaussian field by means of the family of Gaussian orthogonally invariant (GOI) matrices, of which the Gaussian orthogonal ensemble (GOE) is a special case.

Description

UNISON/ASU Stochastic Modeling Seminar
Friday, April 8
11:00am MST/AZ
Virtual via Zoom
Email organizer John Fricks for the Zoom link

Speaker

Dan Cheng
Arizona State University

Location
Virtual via Zoom