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Piterbarg Theorems for Chi-processes with Trend

Probability 2013-09-03 v1

Abstract

Let χn(t)=(i=1nXi2(t))1/2,t0\chi_n(t) = (\sum_{i=1}^n X_i^2(t))^{1/2},t\ge0 be a chi-process with nn degrees of freedom where XiX_i's are independent copies of some generic centered Gaussian process XX. This paper derives the exact asymptotic behavior of P{\sup_{t\in[0,T]} \chi_n(t)>u} as u \to \infty, where TT is a given positive constant, and g()g(\cdot) is some non-negative bounded measurable function. The case g(t)0g(t)\equiv0 is investigated in numerous contributions by V.I. Piterbarg. Our novel asymptotic results for both stationary and non-stationary XXare referred to as Piterbarg theorems for chi-processes with trend.

Keywords

Cite

@article{arxiv.1309.0255,
  title  = {Piterbarg Theorems for Chi-processes with Trend},
  author = {Enkelejd Hashorva and Lanpeng Ji},
  journal= {arXiv preprint arXiv:1309.0255},
  year   = {2013}
}

Comments

22 pages

R2 v1 2026-06-22T01:18:44.704Z