On the rate of convergence for an $\alpha$-stable central limit theorem under sublinear expectation
Mingshang Hu, Lianzi Jiang, Gechun Liang

TL;DR
This paper develops a monotone approximation scheme for nonlinear PIDEs related to $ ext{alpha}$-stable Levy processes under sublinear expectation, providing explicit convergence rates and Berry-Esseen bounds for the associated central limit theorem.
Contribution
It introduces a novel approximation scheme for nonlinear PIDEs in sublinear expectation spaces and derives explicit convergence rates for the $ ext{alpha}$-stable CLT.
Findings
Established error bounds for the approximation scheme
Derived explicit Berry-Esseen bounds
Quantified convergence rates for the $ ext{alpha}$-stable CLT
Abstract
In this paper, we propose a monotone approximation scheme for a class of fully nonlinear degenerate partial integro-differential equations (PIDEs) which characterize the nonlinear -stable L\'{e}vy processes under sublinear expectation space with . We further establish the error bounds for the monotone approximation scheme. This in turn yields an explicit Berry-Esseen bound and convergence rate for the -stable central limit theorem under sublinear expectation.
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Taxonomy
TopicsStochastic processes and financial applications · Nonlinear Differential Equations Analysis · Stability and Controllability of Differential Equations
