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Minimax optimal designs for nonparametric regression - a further optimality property of the uniform distribution

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  • Biedermann, Stefanie
  • Dette, Holger

Abstract

In the common nonparametric regression model y(i) = g(ti) + a (ti) ei , i=1….,n with i.i.d - noise and nonrepeatable design points ti we consider the problem of choosing an optimal design for the estimation of the regression function g. A minimax approach is adopted which searches for designs minimizing the maximum of the asymptotic integrated mean squared error_ where the maximum is taken over an appropriately bounded class of functions (g,a). The minimax designs are found explicitly and for certain special cases the optimality of the uniform distribution can be established.

Suggested Citation

  • Biedermann, Stefanie & Dette, Holger, 2000. "Minimax optimal designs for nonparametric regression - a further optimality property of the uniform distribution," Technical Reports 2000,43, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
  • Handle: RePEc:zbw:sfb475:200043
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    References listed on IDEAS

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    1. Müller, Hans-Georg, 1984. "Optimal designs for nonparametric kernel regression," Statistics & Probability Letters, Elsevier, vol. 2(5), pages 285-290, October.
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