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Local Smoothers

  • Bertrand Clarke
  • Ernest Fokoué
  • Hao Helen Zhang
Chapter
Part of the Springer Series in Statistics book series (SSS)

Nonparametric methods in DMML usually refers to the use of finite, possibly small data sets to search large spaces of functions. Large means, in particular, that the elements of the space cannot be indexed by a finite-dimensional parameter. Thus, large spaces are typically infinite-dimensional–and then some.

Keywords

Mean Square Error Kernel Regression Optimal Bandwidth Kernel Smoother Kernel Density Estimator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  • Bertrand Clarke
    • 1
  • Ernest Fokoué
    • 2
  • Hao Helen Zhang
    • 3
  1. 1.University of MiamiMiamiCanada
  2. 2.Department of Science & MathematicsKettering UniversityFlintUSA
  3. 3.Department of StatisticsNorth Carolina State University Program in Statistical GeneticsRaleighUSA

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