Asymptotic analysis of the Forward Search
The Forward Search is an iterative algorithm concerned with detection of outliers and other unsuspected structures in data.� This approach has been suggested, analysed and applied for regression models in the monograph Atkinson and Riani (2000).� An asymptotic analysis of the Forward Search is made.� The argument involves theory for a new class of weighted and marked empirical processes, quantile process theory, and a fixed point argument to describe the iterative element of the procedure.
|Date of creation:||11 Feb 2013|
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- Eric Engler & Bent Nielsen, 2007.
"The empirical process of autoregressive residuals,"
Economics Series Working Papers
2007-W01, University of Oxford, Department of Economics.
- Bent Nielsen & Soren Johansen, 2010. "Discussion of The Forward Search: Theory and Data Analysis," Economics Series Working Papers 2010-W02, University of Oxford, Department of Economics.
- Marco Riani & Anthony C. Atkinson & Andrea Cerioli, 2009. "Finding an unknown number of multivariate outliers," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 447-466.
- Marco Riani & Anthony C. Atkinson & Andrea Cerioli, 2009. "Finding an unknown number of multivariate outliers," LSE Research Online Documents on Economics 30462, London School of Economics and Political Science, LSE Library.
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