Zero bias transformation and asymptotic expansions
Ying Jiao (PMA)

TL;DR
This paper introduces a recursive asymptotic expansion method using zero bias transformation to approximate expectations of functions of sums of independent random variables, including analysis of the remainder term.
Contribution
It presents a novel recursive expansion formula leveraging zero bias transformation for better approximation of sums of independent variables.
Findings
Derived a recursive asymptotic expansion formula.
Provided estimates for the remainder term.
Enhanced understanding of normal approximation accuracy.
Abstract
We apply the zero bias transformation to deduce a recursive asymptotic expansion formula for expectation of functions of sum of independent random variables in terms of normal expectations and we discuss the remainder term estimations.
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