The Bayesian Expectation-Maximization-Maximization for the 3PLM

The Bayesian Expectation-Maximization-Maximization for the 3PLM

The current study proposes an alternative feasible Bayesian algorithm for the three-parameter logistic model (3PLM) from a mixture-modeling perspective, namely, the Bayesian Expectation-Maximization-Maximization (Bayesian EMM, or BEMM). As a new maximum likelihood estimation (MLE) alternative to the...

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Bibliographic Details
Main Authors: Shaoyang Guo, Chanjin Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Psychology
Subjects:
3PL
Bayesian EMM
Bayesian EM
mixture modeling
estimation
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2019.01175/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyg.2019.01175/full

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