Nonparametric estimation of the intensity function of a spatial point process on a Riemannian manifold

IF 2.4 2区 数学 Q2 BIOLOGY
Biometrika Pub Date : 2023-02-28 DOI:10.1093/biomet/asad012
S Ward, H S Battey, E A K Cohen
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引用次数: 0

Abstract

Summary This paper is concerned with nonparametric estimation of the intensity function of a point process on a Riemannian manifold. It provides a first-order asymptotic analysis of the proposed kernel estimator for Poisson processes, supplemented by empirical work to probe the behaviour in finite samples and under other generative regimes. The investigation highlights the scope for finite-sample improvements by allowing the bandwidth to adapt to local curvature.
黎曼流形上空间点过程强度函数的非参数估计
本文研究了黎曼流形上点过程强度函数的非参数估计。它提供了一阶渐近分析提出的核估计泊松过程,辅以经验工作,以探索在有限样本和其他生成制度下的行为。通过允许带宽适应局部曲率,研究突出了有限样本改进的范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biometrika
Biometrika 生物-生物学
CiteScore
5.50
自引率
3.70%
发文量
56
审稿时长
6-12 weeks
期刊介绍: Biometrika is primarily a journal of statistics in which emphasis is placed on papers containing original theoretical contributions of direct or potential value in applications. From time to time, papers in bordering fields are also published.
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