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Asymptotic bounds for the expected L1 error of a multivariate kernel density estimator

✍ Scribed by Lasse Holmström; Jussi Klemelä


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
951 KB
Volume
42
Category
Article
ISSN
0047-259X

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✍ Lasse Holmström 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 475 KB

The computational cost of multivariate kernel density estimation can be reduced by prebinning the data. The data are discretized to a grid and a weighted kernel estimator is computed. We report results on the accuracy of such a binned kernel estimator and discuss the computational complexity of the