pith. sign in

arxiv: 2206.02954 · v1 · pith:DORINWENnew · submitted 2022-06-07 · 🧮 math.ST · stat.ME· stat.TH

Median Regularity and Honest Inference

Arun Kumar Kuchibhotla , Sivaraman Balakrishnan , Larry Wasserman This is my paper
classification 🧮 math.ST stat.MEstat.TH
keywords regularityinferencemedianestimatorfunctionalhonestnotionuniformly
0
0 comments X
read the original abstract

We introduce a new notion of regularity of an estimator called median regularity. We prove that uniformly valid (honest) inference for a functional is possible if and only if there exists a median regular estimator of that functional. To our knowledge, such a notion of regularity that is necessary for uniformly valid inference is unavailable in the literature.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Risk-Controlled Post-Processing of Decision Policies

    stat.ML 2026-05 unverdicted novelty 7.0

    Risk-controlled post-processing yields a threshold-structured policy that follows the baseline except where an oracle fallback sharply reduces conditional violation risk, achieving O(log n/n) expected excess risk in i...