Rates of Convergence in the Central Limit Theorem for Nonlinear Statistics Under Relaxed Moment Conditions

This paper is concerned with normal approximation under relaxed moment conditions using Stein’s method. We obtain the explicit rates of convergence in the central limit theorem for (i) nonlinear statistics with finite absolute moment of order 2 + δ ∈ (2,3] and (ii) nonlinear statistics with vanishing third moment and finite absolute moment of order 3 + δ ∈ (3,4]. When applied to specific examples, these rates are of the optimal order On−δ2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$O\left (n^{-\frac {\delta }{2}}\right )$\end{document} and On−1+δ2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$O\left (n^{-\frac {1+\delta }{2}}\right )$\end{document}. Our proofs are based on the covariance identity formula and simple observations about the solution of Stein’s equation.