Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data

Stochastic Expectation Maximization Algorithm for Linear Mixed-Effects Model with Interactions in the Presence of Incomplete Data

The purpose of this paper is to propose a new algorithm based on stochastic expectation maximization (SEM) to deal with the problem of unobserved values when multiple interactions in a linear mixed-effects model (LMEM) are present. We test the effectiveness of the proposed algorithm with the stochas...

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Bibliographic Details
Main Authors: Alandra Zakkour, Cyril Perret, Yousri Slaoui
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Entropy
Subjects:
linear mixed-effects model
interactions
missing data
censored data
<tt>EM</tt> algorithm
<tt>SEM</tt> algorithm
Online Access:https://www.mdpi.com/1099-4300/25/3/473

Internet

https://www.mdpi.com/1099-4300/25/3/473

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