Abstract
We compare two state-of-the-art non-linear techniques for nonparametric function estimation via piecewise constant approximation: the taut string and the Unbalanced Haar methods. While it is well-known that the latter is multiscale, it is not obvious that the former can also be interpreted as multiscale. We provide a unified multiscale representation for both methods, which offers an insight into the relationship between them as well as suggesting lessons both methods can learn from each other.
| Original language | English |
|---|---|
| Pages (from-to) | 671-681 |
| Number of pages | 11 |
| Journal | Statistics and Computing |
| Volume | 21 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Oct 2011 |
Keywords
- NONPARAMETRIC FUNCTION ESTIMATION
- LINEAR-MODELS
- Nonparametric function estimation
- Unbalanced Haar wavelets
- MULTIRESOLUTION
- Multiscale
- Taut string
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