Kurisu, Daisuke and Otsu, Taisuke ORCID: 0000-0002-2307-143X
(2025)
Empirical likelihood for manifolds.
Journal of the Royal Statistical Society. Series B: Statistical Methodology.
ISSN 1369-7412
(In Press)
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Text (Frechet-EL11)
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Pending embargo until 1 January 2100. Available under License Creative Commons Attribution. Download (4MB) |
Abstract
There has been growing interest in statistical analysis on random objects taking values ina non-Euclidean metric space. One important class of such objects consists of data on manifolds.This article is concerned with inference on the Fréchet mean and related populationobjects on manifolds. We develop the concept of nonparametric likelihood for data on manifoldsand propose general inference methods by adapting the theory of empirical likelihood.In addition to the basic asymptotic properties, such as Wilks’ theorem of the empirical likelihoodstatistic, we present several generalizations of the proposed methodology: two-sampletesting, inference on the Fréchet variance, quasi Bayesian inference, local Fréchet regression,and estimation of the Fréchet mean set. Simulation and real data examples illustrate theusefulness of the proposed methodology and advantage against the conventional Wald test.
Item Type: | Article |
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Additional Information: | © 2025 The Author(s) |
Divisions: | Economics |
Subjects: | H Social Sciences > HB Economic Theory H Social Sciences > HA Statistics |
Date Deposited: | 03 Jun 2025 09:48 |
Last Modified: | 06 Jun 2025 10:18 |
URI: | http://eprints.lse.ac.uk/id/eprint/128293 |
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