High Extremes of Gaussian Chaos Processes: A Discrete Time Approximation Approach
DOI10.1137/S0040585X97T988885zbMath1414.60024OpenAlexW2898399556WikidataQ129046490 ScholiaQ129046490MaRDI QIDQ4961761
A. I. Zhdanov, Vladimir I. Piterbarg
Publication date: 25 October 2018
Published in: Theory of Probability & Its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/s0040585x97t988885
Gaussian processesdouble sum methodGaussian chaoshigh extreme probabilitiesLaplace saddle point approximation method
Gaussian processes (60G15) Central limit and other weak theorems (60F05) Extreme value theory; extremal stochastic processes (60G70)
Related Items (7)
Cites Work
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