Nonparametric estimation of random effects densities in a linear mixed-effects model with Fourier-oscillating noise density

DOI10.1080/03610926.2019.1625923OpenAlexW3003050240WikidataQ127743561 ScholiaQ127743561MaRDI QIDQ5078082

Tran Quoc Viet, Cao Xuan Phuong, Dang Duc Trong

Publication date: 20 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2019.1625923

zbMATH Keywords

deconvolutionFourier-oscillating noise densityrandom effects densities

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Statistics (62-XX)

Uses Software

• MEMSS
• glmmAK
• Unnamed Item

Cites Work

• Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
• Adaptive estimation of marginal random-effects densities in linear mixed-effects models
• On the optimal rates of convergence for nonparametric deconvolution problems
• Generalized linear mixed model with a penalized Gaussian mixture as a random effects distribution
• The 64-bit universal RNG.
• New adaptive strategies for nonparametric estimation in linear mixed models
• Mixed model analysis of censored longitudinal data with flexible random-effects density
• Nonparametric estimation of random-effects densities in linear mixed-effects model
• A Fast Method for the Numerical Evaluation of Continuous Fourier and Laplace Transforms
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Mixed-Effects Models in S and S-PLUS
• A Convenient Method for Generating Normal Variables
• Handbook of Statistical Distributions with Applications
• An introduction to the mathematical theory of inverse problems

This page was built for publication: Nonparametric estimation of random effects densities in a linear mixed-effects model with Fourier-oscillating noise density