Discussion of The Forward Search: Theory and Data Analysis by Anthony C. Atkinson, Marco Riani, and Andrea Ceroli
The Forward Search Algorithm is a statistical algorithm for obtaining robust estimators of regression coefficients in the presence of outliers. The algorithm selects a succession of subsets of observations from which the parameters are estimated. The present note shows how the theory of empirical processes can contribute to the understanding of how the subsets are chosen and how the sequence of estimators is changing.
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- David F. Hendry & Hans-Martin Krolzig, 2005.
"The Properties of Automatic "GETS" Modelling,"
Royal Economic Society, vol. 115(502), pages 32-61, 03.
- Hendry, David F & Hans-Martin Krolzig, 2003. "The Properties of Automatic Gets Modelling," Royal Economic Society Annual Conference 2003 105, Royal Economic Society.
- David Hendry & Hans-Martin Krolzig, 2003. "The Properties of Automatic Gets Modelling," Economics Papers 2003-W14, Economics Group, Nuffield College, University of Oxford.
- Kevin D. Hoover & Stephen J. Perez, 1999.
"Data mining reconsidered: encompassing and the general-to-specific approach to specification search,"
Royal Economic Society, vol. 2(2), pages 167-191.
- Kevin Hoover & Stephen J. Perez, 2003. "Data Mining Reconsidered: Encompassing And The General-To-Specific Approach To Specification Search," Working Papers 9727, University of California, Davis, Department of Economics.
- Kevin D. Hoover & Stephen J. Perez, "undated". "Data Mining Reconsidered: Encompassing And The General-To-Specific Approach To Specification Search," Department of Economics 97-27, California Davis - Department of Economics.
- Søren Johansen & Bent Nielsen, 2008. "An analysis of the indicator saturation estimator as a robust regression," Discussion Papers 08-03, University of Copenhagen. Department of Economics.
- E ric E ngler & B ent N ielsen, 2009.
"The empirical process of autoregressive residuals,"
Royal Economic Society, vol. 12(2), pages 367-381, 07.
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