Under quite mild conditions on the kernel and on the bandwidth, the distribution-free strong consistency is proved for the kernel regression and the modified kernel regression of an ~-miΓin~ stationary sequence in time series context. The condition imposed on the mixing coefficients ..... . l,, \~=~
Distribution-free consistency of a nonparametric kernel regression estimate and classification
β Scribed by Krzyzak, A.; Pawlak, M.
- Book ID
- 114635355
- Publisher
- IEEE
- Year
- 1984
- Tongue
- English
- Weight
- 488 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0018-9448
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