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Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison

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  • A. Alessandri
  • L. Cassettari
  • R. Mosca

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  • A. Alessandri & L. Cassettari & R. Mosca, 2009. "Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison," Computational Management Science, Springer, vol. 6(1), pages 5-24, February.
    • Handle: RePEc:spr:comgts:v:6:y:2009:i:1:p:5-24
    DOI: 10.1007/s10287-008-0074-3
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    References listed on IDEAS

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    1. Shuhe, Hu, 2004. "Consistency for the least squares estimator in nonlinear regression model," Statistics & Probability Letters, Elsevier, vol. 67(2), pages 183-192, April.
    2. R. Zoppoli & M. Sanguineti & T. Parisini, 2002. "Approximating Networks and Extended Ritz Method for the Solution of Functional Optimization Problems," Journal of Optimization Theory and Applications, Springer, vol. 112(2), pages 403-440, February.
    3. Pollard, David & Radchenko, Peter, 2006. "Nonlinear least-squares estimation," Journal of Multivariate Analysis, Elsevier, vol. 97(2), pages 548-562, February.
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