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On the rate of convergence for an $\alpha$-stable central limit theorem under sublinear expectation

Probability 2024-06-12 v3 Numerical Analysis Numerical Analysis

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 α\alpha-stable L\'{e}vy processes under sublinear expectation space with α(1,2)\alpha \in(1,2). 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 α\alpha-stable central limit theorem under sublinear expectation.

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Cite

@article{arxiv.2107.11076,
  title  = {On the rate of convergence for an $\alpha$-stable central limit theorem under sublinear expectation},
  author = {Mingshang Hu and Lianzi Jiang and Gechun Liang},
  journal= {arXiv preprint arXiv:2107.11076},
  year   = {2024}
}

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25 pages