Referenced Items are not available for this document.
Presents on-line procedures for estimating density functions and their derivatives. At each step, M terms are updated. By increasing M the efficiency compared to the traditional off-line kernel density estimator tends to one. Already for M=2, it exceeds 99.1% for kernel orders and derivatives of practical interest
Published in:
Information Theory, IEEE Transactions on
(Volume:41
,
Issue:
3
)
Date of Publication: May 1995
- Page(s):
- 829 - 833
- ISSN :
- 0018-9448
- INSPEC Accession Number:
- 4959157
- Digital Object Identifier :
- 10.1109/18.382036
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1995
- Sponsored by :
- IEEE Information Theory Society
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