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A Nonparametric Regression Model With Tree-Structured Response

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Publication:4904707
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DOI10.1080/01621459.2012.699348zbMath1258.62054OpenAlexW2032482742MaRDI QIDQ4904707

Elizabeth Bullitt, Haonan Wang, Burcu Aydın, Yuan Wang, Alim Ladha, James Stephen Marron

Publication date: 31 January 2013

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2012.699348


zbMATH Keywords

smoothingbinary treesdata objectsobject-oriented data


Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of graph theory (05C90)


Related Items

Modeling and partial least squares approaches in OODA ⋮ OODA of graph and tree-structured data ⋮ Pareto quantiles of unlabeled tree objects



Cites Work

  • The negative correlations between data-determined bandwidths and the optimal bandwidth
  • A principal component analysis for trees
  • Metric models for random graphs
  • Large sample theory of intrinsic and extrinsic sample means on manifolds. I
  • Scale space view of curve estimation.
  • Visualizing the structure of large trees
  • Object oriented data analysis: sets of trees
  • Large sample theory of intrinsic and extrinsic sample means on manifolds. II.
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