Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions

DOI10.1214/19-EJS1620zbMath1431.62145arXiv1407.3152OpenAlexW2980054319MaRDI QIDQ2326991

Jing Qin, Tao Yu, Peng-Fei Li

Publication date: 11 October 2019

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1407.3152

zbMATH Keywords

M-estimatorsempirical processmajorization-minimization algorithmEM-like algorithmmixture datasmoothed likelihood function

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• KernSmooth

Cites Work

• Unnamed Item
• Unnamed Item
• Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint
• Maximum smoothed likelihood estimators for the interval censoring model
• Maximum smoothed likelihood estimation and smoothed maximum likelihood estimation in the current status model
• Nonlinear smoothing and the EM algorithm for positive integral equations of the first kind
• Maximum likelihood estimation of smooth monotone and unimodal densities.
• Maximum smoothed likelihood density estimation for inverse problems
• Weak convergence and empirical processes. With applications to statistics
• Efficient distribution estimation for data with unobserved sub-population identifiers
• Introduction to empirical processes and semiparametric inference
• Statistical genetics of quantitative traits. Linkage, maps, and QTL.
• A Generalized Kruskal–Wallis Test Incorporating Group Uncertainty with Application to Genetic Association Studies
• Maximum smoothed likelihood for multivariate mixtures
• Density Estimation in Several Populations With Uncertain Population Membership
• Maximum smoothed likelihood density estimation
• Nonparametric inference in multivariate mixtures
• Bayesian Analysis of Two-Component Mixture Distributions Applied to Estimating Malaria Attributable Fractions
• Nonparametric Estimation for Censored Mixture Data With Application to the Cooperative Huntington’s Observational Research Trial
• Density estimation in the two-sample problem with likelihood ratio ordering
• A Semiparametric Two‐Component “Compound” Mixture Model and Its Application to Estimating Malaria Attributable Fractions
• Maximum penalized likelihood estimation. Vol. 1: Density estimation

This page was built for publication: Maximum smoothed likelihood component density estimation in mixture models with known mixing proportions