Median regularity and honest inference
成果类型:
Article
署名作者:
Kuchibhotla, Arun Kumar; Balakrishnan, Sivaraman; Wasserman, Larry
署名单位:
Carnegie Mellon University
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
DOI:
10.1093/biomet/asad002
发表日期:
2023
页码:
831838
关键词:
confidence sets
nonexistence
摘要:
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 the best of our knowledge, such a notion of regularity that is necessary for uniformly valid inference is unavailable in the literature.
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