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PreprintarXiv licencearXiv

Refined Cramér-type moderate deviations by Stein's method under dependence

Abstract

In this paper, we establish refined Cramér-type moderate deviations for dependent random variables at any fixed order m≥3. Combining higher-order Stein identities with exponential tilting, we obtain cumulant-corrected tail approximations with explicit error bounds for boundedly supported kernels. Our main application gives a fourth-order expansion under bounded local dependence, reaching an O(n3/10) deviation range under standard normalization with fixed dependence parameters. It improves on previous work in both deviation range and applicability, and also covers bounded m-dependent sequences without an independent-base representation. Further applications to the generalized combinatorial central limit theorem and the Curie-Weiss model also extend some earlier results under permutation and mean-field dependence.

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BibTeX
@misc{liu2026refined,
  title = {{Refined Cramér-type moderate deviations by Stein's method under dependence}},
  author = {Hui-Lin Liu and Song-Hao Liu and Dawei Lu},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.29078},
  eprint = {2610.29078},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.29078},
}
RIS
TY  - UNPB
TI  - Refined Cramér-type moderate deviations by Stein's method under dependence
AU  - Hui-Lin Liu
AU  - Song-Hao Liu
AU  - Dawei Lu
PY  - 2026
DA  - 2026/10/21
PB  - arXiv
DO  - 10.48550/arxiv.2610.29078
UR  - https://arxiv.org/abs/2610.29078
AB  - In this paper, we establish refined Cramér-type moderate deviations for dependent random variables at any fixed order m≥3. Combining higher-order Stein identities with exponential tilting, we obtain cumulant-corrected tail approximations with explicit error bounds for boundedly supported kernels. Our main application gives a fourth-order expansion under bounded local dependence, reaching an O(n^3/10) deviation range under standard normalization with fixed dependence parameters. It improves on previous work in both deviation range and applicability, and also covers bounded m-dependent sequences without an independent-base representation. Further applications to the generalized combinatorial central limit theorem and the Curie-Weiss model also extend some earlier results under permutation and mean-field dependence.
ER  -