On robust local polynomial estimation with long-memory errors

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2000
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Ghosh, Sucharita
Sibbertsen, Philipp
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Prediction in time series models with a trend requires reliable estima- tion of the trend function at the right end of the observed series. Local polynomial smoothing is a suitable tool because boundary corrections are included implicitly. However, outliers may lead to unreliable estimates, if least squares regression is used. In this paper, local polynomial smoothing based on M

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ISO 690BERAN, Jan, Yuanhua FENG, Sucharita GHOSH, Philipp SIBBERTSEN, 2000. On robust local polynomial estimation with long-memory errors
BibTex
@techreport{Beran2000robus-525,
  year={2000},
  series={CoFE-Diskussionspapiere / Zentrum für Finanzen und Ökonometrie},
  title={On robust local polynomial estimation with long-memory errors},
  number={2000/18},
  author={Beran, Jan and Feng, Yuanhua and Ghosh, Sucharita and Sibbertsen, Philipp}
}
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