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Large sample theory of intrinsic and extrinsic sample means on manifolds

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Bhattacharya, Rabi, Patrangenaru, Vic·2003·The Annals of Statistics

Abstract

Sufficient conditions are given for the uniqueness of intrinsic and extrinsic means as measures of location of probability measures Q on Riemannian manifolds. It is shown that, when uniquely defined, these are estimated consistently by the corresponding indices of the empirical $\hat Q_n$. Asymptotic distributions of extrinsic sample means are derived. Explicit computations of these indices of $\hat Q_n$ and their asymptotic dispersions are carried out for distributions on the sphere $S^d$ (directional spaces), real projective space $\mathbb{R}P^{N-1}$ (axial spaces) and $\mathbb{C} P^{k-2}$ (planar shape spaces).

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Metadata

Authors
Bhattacharya, R., & Patrangenaru, V.
Venue
The Annals of Statistics
Published
2003-02-01
Volume
31
Issue
1
Pages
1-29
ISSN
0090-5364 (ISSN-L)
OpenAlex
W2072931016
Cited by
401
References
44
FWCI
11.73
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Large sample theory of intrinsic and extrinsic sample means on manifolds. https://app.cochat.ai/papers/10.1214/aos/1046294456
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Bhattacharya, R., & Patrangenaru, V. (2003). Large sample theory of intrinsic and extrinsic sample means on manifolds. The Annals of Statistics. https://doi.org/10.1214/aos/1046294456

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