Semi-parametric estimation for conditional independence multivariate finite mixture models

DOI10.1214/15-SS108zbMath1307.62090OpenAlexW4313422003MaRDI QIDQ2259527

Yanyan Li

Publication date: 4 March 2015

Published in: Statistics Surveys (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ssu/1423229941

zbMATH Keywords

kernel density estimationMM algorithms

Mathematics Subject Classification ID

Density estimation (62G07) Estimation in multivariate analysis (62H12) Nonparametric estimation (62G05)

Related Items (12)

A nonparametric estimation method for the multivariate mixture models ⋮ The doubly smoothed maximum likelihood estimation for location-shifted semiparametric mixtures ⋮ Nonparametric mixture models with conditionally independent multivariate component densities ⋮ Simultaneous Semiparametric Estimation of Clustering and Regression ⋮ Multiresolution approximation and consistent estimation of a multivariate density function ⋮ Clustering via finite nonparametric ICA mixture models ⋮ Moment Estimation for Nonparametric Mixture Models through Implicit Tensor Decomposition ⋮ Nonparametric Estimation of Multivariate Mixtures ⋮ An MM algorithm for estimation of a two component semiparametric density mixture with a known component ⋮ Clustering Data with Nonignorable Missingness using Semi-Parametric Mixture Models ⋮ An overview of semiparametric extensions of finite mixture models ⋮ Theoretical grounding for estimation in conditional independence multivariate finite mixture models

Uses Software

• R
• UCI-ml
• mixtools

Cites Work

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