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  • 标题:Reduction problems and deformation approaches to nonstationary covariance functions over spheres
  • 本地全文:下载
  • 作者:Emilio Porcu ; Rachid Senoussi ; Enner Mendoza
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2020
  • 卷号:14
  • 期号:1
  • 页码:890-916
  • DOI:10.1214/19-EJS1670
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:The paper considers reduction problems and deformation approaches for nonstationary covariance functions on the $(d-1)$-dimensional spheres, $\mathbb{S}^{d-1}$, embedded in the $d$-dimensional Euclidean space. Given a covariance function $C$ on $\mathbb{S}^{d-1}$, we chase a pair $(R,\Psi)$, for a function $R:[-1,+1]\to \mathbb{R}$ and a smooth bijection $\Psi$, such that $C$ can be reduced to a geodesically isotropic one: $C(\mathbf{x},\mathbf{y})=R(\langle \Psi (\mathbf{x}),\Psi (\mathbf{y})\rangle )$, with $\langle \cdot ,\cdot \rangle $ denoting the dot product.
  • 关键词:Covariance function; nonstationarity; reducibility problem; spheres
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