Asymptotic normality of an adaptive kernel density estimator for finite mixture models

Rohana J. Karunamuni; Τ. N. Sriram; Jingjing Wu

doi:10.1016/j.spl.2005.07.017

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Asymptotic normality of an adaptive kernel density estimator for finite mixture models

Rohana J. Karunamuni Τ. N. Sriram Jingjing Wu

Year: 2005 Journal: Statistics & Probability Letters Vol: 76 (2)Pages: 211-220 Publisher: Elsevier BV

DOI: 10.1016/j.spl.2005.07.017

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Keywords:

Mathematics Estimator Hellinger distance Kernel density estimation Variable kernel density estimation Multivariate kernel density estimation Applied mathematics Density estimation Adaptive estimator Kernel (algebra) Kernel smoother Mathematical optimization Statistics Kernel method Artificial intelligence Computer science Combinatorics Radial basis function kernel

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Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Distribution Estimation and Applications

Physical Sciences → Mathematics → Statistics and Probability

Asymptotic normality of an adaptive kernel density estimator for finite mixture models

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