Rates of convergence in the CLT for nonlinear statistics under relaxed moment conditions
Abstract
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]; (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 O(n-δ2) and O(n-1+δ2). Our proof are based on the covariance identify formula and simple observations about the solution of Stein's equation.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.