Mechanical Device for Smoothing Data
β Scribed by SCHUMANN, T.
- Book ID
- 109530967
- Publisher
- Nature Publishing Group
- Year
- 1939
- Tongue
- English
- Weight
- 543 KB
- Volume
- 143
- Category
- Article
- ISSN
- 0028-0836
- DOI
- 10.1038/143937a0
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π SIMILAR VOLUMES
The problem of smoothing data through a transform in the Fourier domain is analyzed. It is well known that this problem has a very easy solution and optimal convergence properties; moreover, the GCV criterion is able to give an estimate of the regularization parameter that is asymptotically optimal
For sparse multinomial data we study sparse consistency rates for frequency estimators and for local polynomial cell probability estimators. Our results illustrate the beneficial effect of nonparametric smoothing. Compared to sparse consistency properties for maximum penalized likelihood cell probab