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  • 标题:Tight minimax rates for manifold estimation under Hausdorff loss
  • 本地全文:下载
  • 作者:Arlene K. H. Kim ; Harrison H. Zhou
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 页码:1562-1582
  • DOI:10.1214/15-EJS1039
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:This paper deals with minimax rates of convergence for manifold estimation. A new lower bound is obtained by a novel construction of two sets of manifolds and an application of convex hull testing method of Le Cam (1973). The minimax lower bound matches the upper bound up to a constant factor considered by Genovese et al. (2012b).
  • 关键词:minimax lower bound;manifold estimation;con vex hull testing.
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