Minimum quadratic distance density estimation using nonparametric mixtures

DOI10.1016/j.csda.2012.06.004zbMath1365.62125OpenAlexW2026116646MaRDI QIDQ2359451

Yong Wang, Chew-Seng Chee

Publication date: 29 June 2017

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

Full work available at URL: https://doi.org/10.1016/j.csda.2012.06.004

zbMATH Keywords

minimum distance estimationbandwidth selectionquadratic lossnonparametric mixturedouble smoothingkernel-based density estimator

Mathematics Subject Classification ID

Density estimation (62G07)

Related Items

Modelling of count data using nonparametric mixtures ⋮ Least squares estimation of a \(k\)-monotone density function ⋮ Comparing two mixing densities in nonparametric mixture models ⋮ Nonparametric multivariate density estimation using mixtures

Uses Software

• KernSmooth
• pyuvdata

Cites Work

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• Density estimation using non-parametric and semi-parametric mixtures
• On Fast Computation of the Non-Parametric Maximum Likelihood Estimate of a Mixing Distribution
• Extensions and Applications of the Householder Algorithm for Solving Linear Least Squares Problems
• Statistical Inference

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