2210.07204
NON-UNIFORM BERRY-ESSEEN THEOREM AND EDGEWORTH EXPANSIONS WITH APPLICATIONS TO TRANSPORT DISTANCES FOR WEAKLY DEPENDENT RANDOM VARIABLES
Yeor Hafouta
correctmedium confidence
- Category
- Not specified
- Journal tier
- Strong Field
- Processed
- Sep 28, 2025, 12:56 AM
- arXiv Links
- Abstract ↗PDF ↗
Audit review
The paper states and proves a non-uniform Berry–Esseen bound under Assumption 3 and non-uniform Edgeworth expansions under Assumptions 3 and 6, with the precise dependence of the Edgeworth polynomials on An, Bn−σn, and Λn^{(j)}(0)σn^{j−2} (Theorems 5 and 8). Its proof uses a smoothing inequality (Eq. (9.6)) and Fourier-analytic estimates (Propositions 60–61) to obtain |Fn(x)−Φ(x)| ≤ Cσn^{-1}(1+|x|)^{-m}, and, for r≤m−2, |Fn(x)−Ψr,n(x)| ≤ Cnσn^{-r}(1+|x|)^{-m} with Cn→0, plus the Lp consequences and the explicit Hermite-based form in the self-normalized case . The candidate solution follows the same Fourier scheme: (i) local control of the characteristic function and its derivatives from Assumption 3 (matching Lemma 64) , (ii) an m-fold integration-by-parts smoothing inequality yielding the (1+|x|)^{-m} factor (the paper uses a closely related smoothing bound (9.6)) , (iii) Taylor expansion of log f_n to build Edgeworth polynomials with coefficients depending on standardized cumulants and the shift/scale parameters (matching Section 9.1 and Eq. (2.3)) . One minor discrepancy is the model’s shorthand treatment of the smoothing remainder: it uses a cutoff-based integration-by-parts variant giving a T^{-m} truncation term, whereas the paper’s Lemma (9.6) features a K/T term and therefore chooses T≈σn^{m−2} in the expansion proof (to force K/T=o(σn^{-r})) . Aside from this technical presentation difference (easily reconciled), the arguments and results agree.
Referee report (LaTeX)
\textbf{Recommendation:} minor revisions \textbf{Journal Tier:} strong field \textbf{Justification:} The submission achieves non-uniform Berry–Esseen bounds and Edgeworth expansions under abstract cumulant and tail-integrability assumptions and verifies them in a variety of weakly dependent settings. The Fourier-analytic method and smoothing argument are applied with precision, and the Hermite–cumulant structure is laid out clearly. Minor clarifications around the smoothing step and the explicit choice of truncation parameter would further strengthen readability.