Maximum likelihood kernel density estimation: on the potential of convolution sieves

DOI10.1016/j.csda.2009.03.019zbMath1453.62122OpenAlexW1986313246MaRDI QIDQ961844

B. E. Eshmatov

Publication date: 1 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://oro.open.ac.uk/15791/1/Jones_2009_Computational-Statistics-%26-Data-Analysis.pdf

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Density estimation (62G07)

Related Items (7)

Minimum quadratic distance density estimation using nonparametric mixtures ⋮ Nonparametric Estimation of Time Trend for Repairable Systems Data ⋮ Approximate inference of the bandwidth in multivariate kernel density estimation ⋮ Randomized mixture models for probability density approximation and estimation ⋮ Outlying property detection with numerical attributes ⋮ Nonparametric multivariate density estimation using mixtures ⋮ Generalized lag synchronization of neural networks with discontinuous activations and bounded perturbations

Uses Software

• KernSmooth
• AS 221

Cites Work

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• Algorithm AS 221: Maximum Likelihood Estimation of a Mixing Distribution
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• A Comparison of Higher-Order Bias Kernel Density Estimators
• A simple bias reduction method for density estimation
• Miscellanea. Data sharpening as a prelude to density estimation

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