English

"Building" exact confidence nets

Statistics Theory 2016-03-11 v4 Group Theory Statistics Theory

Abstract

Confidence nets, that is, collections of confidence intervals that fill out the parameter space and whose exact parameter coverage can be computed, are familiar in nonparametric statistics. Here, the distributional assumptions are based on invariance under the action of a finite reflection group. Exact confidence nets are exhibited for a single parameter, based on the root system of the group. The main result is a formula for the generating function of the coverage interval probabilities. The proof makes use of the theory of "buildings" and the Chevalley factorization theorem for the length distribution on Cayley graphs of finite reflection groups.

Keywords

Cite

@article{arxiv.1407.8375,
  title  = {"Building" exact confidence nets},
  author = {Andrew R. Francis and Milan Stehlik and Henry P. Wynn},
  journal= {arXiv preprint arXiv:1407.8375},
  year   = {2016}
}

Comments

20 pages. To appear in Bernoulli

R2 v1 2026-06-22T05:17:30.555Z