Non-asymptotic results for Cornish--Fisher expansions
V. V. Ulyanov, M. Aoshima, Y. Fujikoshi

TL;DR
This paper derives computable error bounds for generalized Cornish-Fisher expansions of quantiles, contingent on known bounds for Edgeworth-Chebyshev expansions, and illustrates these results with examples.
Contribution
It provides a method to obtain explicit error bounds for Cornish-Fisher expansions based on existing bounds for Edgeworth-Chebyshev expansions, enhancing their practical applicability.
Findings
Derived explicit error bounds for Cornish-Fisher expansions
Connected error bounds to Edgeworth-Chebyshev expansions
Validated results through illustrative examples
Abstract
We get the computable error bounds for generalized Cornish-Fisher expansions for quantiles of statistics provided that the computable error bounds for Edgeworth-Chebyshev type expansions for distributions of these statistics are known. The results are illustrated by examples.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
