Estimating the Variance of Estimator of the Latent Factor Linear Mixed Model Using Supplemented Expectation-Maximization Algorithm

• Published in: Symmetry (Basel) Vol. 13; no. 7; p. 1286
• Main Authors: Angraini, Yenni, Notodiputro, Khairil Anwar, Folmer, Henk, Saefuddin, Asep, Toharudin, Toni
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2021
• Subjects: Algorithms; Dimensional changes; Estimates; Mathematical models; Matrices (mathematics); Maximization; Normal distribution; Optimization; Regression coefficients; Simulation; Statistical analysis; Variables; Variance

This paper deals with symmetrical data that can be modelled based on Gaussian distribution, such as linear mixed models for longitudinal data. The latent factor linear mixed model (LFLMM) is a method generally used for analysing changes in high-dimensional longitudinal data. It is usual that the mod...