English

Approximating Shepp's constants for the Slepian process

Probability 2019-04-17 v2

Abstract

Slepian process S(t)S(t) is a stationary Gaussian process with zero mean and covariance ES(t)S(t)=max{0,1tt}. E S(t)S(t')=\max\{0,1-|t-t'|\}\, . For any T>0T>0 and h>0h>0, define FT(h)=Pr{maxt[0,T]S(t)<h}F_T(h ) = {\rm Pr}\left\{\max_{t \in [0,T]} S(t) < h \right\} and the constants Λ(h)=limT1TlogFT(h)\Lambda(h) = -\lim_{T \to \infty} \frac1T \log F_T(h) and λ(h)=exp{Λ(h)}\lambda(h)=\exp\{-\Lambda(h) \}; we will call them `Shepp's constants'. The aim of the paper is construction of accurate approximations for FT(h)F_T(h) and hence for the Shepp's constants. We demonstrate that at least some of the approximations are extremely accurate.

Keywords

Cite

@article{arxiv.1812.11101,
  title  = {Approximating Shepp's constants for the Slepian process},
  author = {Jack Noonan and Anatoly Zhigljavsky},
  journal= {arXiv preprint arXiv:1812.11101},
  year   = {2019}
}
R2 v1 2026-06-23T06:58:10.077Z