Abstract
Empirical likelihood is a popular nonparametric analog of the usual parametric likelihood, inheriting many of the large-sample properties of the latter construct. This article presents a review of the empirical likelihood approach from its introduction 30 years ago, up to recent theoretical developments. Aspects of computation and connections between empirical likelihood and other likelihood-type quantities are also explored. The article ends with a discussion of some directions for future research.
Original language | English (US) |
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Pages (from-to) | 329-344 |
Number of pages | 16 |
Journal | Annual Review of Statistics and Its Application |
Volume | 8 |
DOIs | |
State | Published - Mar 7 2021 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty