摘要

This paper studies rescaled images, under exp(mu)(-1) of the sample Frechet means of i.i.d. random variables {X-k vertical bar k >= 1} with Frechet mean mu on a Riemannian manifold. We show that, with appropriate scaling, these images converge weakly to a diffusion process. Similar to the Euclidean case, this limiting diffusion is a Brownian motion up to a linear transformation. However, in addition to the covariance structure of exp(mu)(-1) (X-1), this linear transformation also depends on the global Riemannian structure of the manifold.

  • 出版日期2015-12

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