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
On the law of the logarithm for density estimators
โ Scribed by Peter Hall
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 256 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0167-7152
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