Nonparametric iterative estimation of multivariate binary density
β Scribed by Wen-Qi Liang; P.R. Krishnaiah
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 481 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0047-259X
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π SIMILAR VOLUMES
We consider estimation of a multivariate probability density function \(f(x)\) by kernel type nearest neighbor ( \(\mathrm{nn})\) estimators \(g_{n}(x)\). The development of \(\mathrm{nn}\) density estimation theory has had a rich history since Loftsgaarden and Quesenberry proposed the idea in 1965
Multivariate kernel density estimators are known to systematically deviate from the true value near critical points of the density surface. To overcome this difficulty a method based on Rao Blackwell's theorem is proposed. Local corrections of kernel density estimators are achieved by conditioning t