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Rejoinder

  • Conference paper
Statistical Theory and Computational Aspects of Smoothing

Part of the book series: Contributions to Statistics ((CONTRIB.STAT.))

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Abstract

Let us first thank all contributors of this discussion for the stimulating comments concerning various aspects of nonparametric regression estimation. We indeed appreciate the open scientific atmosphere seen in all contributions. Some major topics have emerged from papers and discussions, and for a number of problems a consensus is in reach, within some margin of tolerance.

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Additional references

  • Gasser, Th., Müller, H.-G. & Mammitzsch, V. (1985). Kernels for nonparametric curve estimation. J. Roy. Statist. Soc. Ser. B 47, 238–252.

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  • Gasser, Th., Sroka, L. & Jennen-Steinmetz, Ch. (1986). Residual variance and residual pattern in nonlinear regression. Biometrika 73, 625–633.

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  • Hall, P., Kay, J. W. & Titterington, D. M. (1990). Asymptotically optimal difference-based estimation of variance in nonparametric regression. Biometrika 77, 521–528.

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  • Herrmann, E., Wand, M. P., Engel, J. & Gasser, Th. (1994). A bandwidth selector for bivariate kernel regression. J. Roy. Statist. Soc. Str. B 57, 171–180.

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  • Marron, J. S. & Wand, M. P. (1992). Exact mean integrated squared error. Ann. Statist. 20, 712–736.

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Author information

Authors and Affiliations

  1. Abteilung Biostatistik, ISPM, Universität Zürich, Sumatrastrasse 30, CH-8006, Zürich, Switzerland

    Burkhardt Seifert & Theo Gasser

Authors
  1. Burkhardt Seifert
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  2. Theo Gasser
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Editor information

Editors and Affiliations

  1. Center for Computational Statistics Institut für Statistik und Ökonometrie Wirtschaftswissenschaftliche Fakultät, Humboldt-Universität zu Berlin, Spandauer straße 1, D-10178, Berlin, Germany

    Wolfgang Härdle

  2. Medical Biometrics Group, University of Graz Medical Schools, Auenbruggerplatz 30/IV, A-8036, Graz, Austria

    Michael G. Schimek

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© 1996 Physica-Verlag Heidelberg

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Seifert, B., Gasser, T. (1996). Rejoinder. In: Härdle, W., Schimek, M.G. (eds) Statistical Theory and Computational Aspects of Smoothing. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-48425-4_10

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  • DOI: https://doi.org/10.1007/978-3-642-48425-4_10

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-7908-0930-5

  • Online ISBN: 978-3-642-48425-4

  • eBook Packages: Springer Book Archive

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