Extremes of alpha(t)-locally Stationary Gaussian Random Fields
Enkelejd Hashorva, Lanpeng Ji

TL;DR
This paper derives the precise asymptotic behavior of the maximum of alpha(t)-locally stationary Gaussian fields over finite regions, with applications to multifractional Brownian motions and chi-processes.
Contribution
It provides the exact asymptotic formulas for the supremum of alpha(t)-locally stationary Gaussian fields, extending understanding of their extreme value behavior.
Findings
Exact asymptotics for Gaussian field supremum over hypercubes
Asymptotic behavior of multifractional Brownian motion extremes
Results for chi-processes generated by multifractional Brownian motions
Abstract
This contribution derives the exact asymptotic behaviour of the supremum of alpha(t)-locally stationary Gaussian random fields over a finite hypercube. We present two applications of our result; the first one deals with extremes of ggregate multifractional Brownian motions, whereas the second application establishes the exact asymptotics of the supremum of chi-processes generated by multifractional Brownian motions.
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Stochastic processes and statistical mechanics · Stochastic processes and financial applications
