Cramér Type Moderate Deviations for the Grenander Estimator Near the Boundaries of the Support

Fuqing Gao, Hui Jiang, Xingqiu Zhao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The Grenander estimator (nonparametric maximum likelihood estimator) of a decreasing density function is not consistent at boundaries of support. This phenomenon has great influences on the global measures of deviation between density function and its Grenander estimator. In this article, by strong approximation technique and comparison method, we establish Cramér type moderate deviations for the Grenander estimator near the boundaries of the support. The obtained results provide a nice uniform comparison between tail probability of the estimator and limiting fluctuation distribution.

Original languageEnglish
Pages (from-to)2854-2878
Number of pages25
JournalBernoulli
Volume29
Issue number4
DOIs
Publication statusPublished - Nov 2023

Keywords

  • Cramér type moderate deviations
  • Empirical process
  • Grenander estimator
  • strong approximation

ASJC Scopus subject areas

  • Statistics and Probability

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