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arXiv 提交日期: 2026-04-20
📄 Abstract - Horospherical Depth and Busemann Median on Hadamard Manifolds

\We introduce the horospherical depth, an intrinsic notion of statistical depth on Hadamard manifolds, and define the Busemann median as the set of its maximizers. The construction exploits the fact that the linear functionals appearing in Tukey's half-space depth are themselves limits of renormalized distance functions; on a Hadamard manifold the same limiting procedure produces Busemann functions, whose sublevel sets are horoballs, the intrinsic replacements for halfspaces. The resulting depth is parametrized by the visual boundary, is isometry-equivariant, and requires neither tangent-space linearization nor a chosen base this http URL arbitrary Hadamard manifolds, we prove that the depth regions are nested and geodesically convex, that a centerpoint of depth at least $1/(d+1)$ exists, and hence that the Busemann median exists for every Borel probability measure. Under strictly negative sectional curvature and mild regularity assumptions, the depth is strictly quasi-concave and the median is unique. We also establish robustness: the depth is stable under total-variation perturbations, and under contamination escaping to infinity the limiting median depends on the escape direction but not on how far the contaminating mass has moved along the geodesic ray, in contrast with the Fréchet mean. Finally, we establish uniform consistency of the sample depth and convergence of sample depth regions and sample Busemann medians; on symmetric spaces of noncompact type, the argument proceeds through a VC analysis of upper horospherical halfspaces, while on general Hadamard manifolds it follows from a compactness argument under a mild non-atomicity assumption.

顶级标签: theory machine learning
详细标签: statistical depth hadamard manifolds median estimation robust statistics geometric data analysis 或 搜索:

哈达玛流形上的球面深度与Busemann中位数 / Horospherical Depth and Busemann Median on Hadamard Manifolds


1️⃣ 一句话总结

这篇论文为一种特殊的弯曲空间(哈达玛流形)提出了一种全新的、不依赖于特定参考点的数据深度概念(球面深度),并定义了相应的中位数(Busemann中位数),证明了其存在性、唯一性、鲁棒性以及统计估计的收敛性。

源自 arXiv: 2604.18242