Limit theorems for empirical Fr\'echet means of independent and non-identically distributed manifold-valued random variables
classification
🧮 math.PR
keywords
empiricalcentralechetindependentlimitmeansproverandom
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We prove weak laws of large numbers and central limit theorems of Lindeberg type for empirical centres of mass (empirical Fr\'echet means) of independent non-identically distributed random variables taking values in Riemannian manifolds. In order to prove these theorems we describe and prove a simple kind of Lindeberg-Feller central approximation theorem for vector-valued random variables, which may be of independent interest and is therefore the subject of a self-contained section. This vector-valued result allows us to clarify the number of conditions required for the central limit theorem for empirical Fr\'echet means, while extending its scope.
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