Cargando…
Accelerating L(1)-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models
One of the main concerns in multidimensional item response theory (MIRT) is to detect the relationship between observed items and latent traits, which is typically addressed by the exploratory analysis and factor rotation techniques. Recently, an EM-based L(1)-penalized log-likelihood method (EML1)...
Autores principales: | Shang, Laixu, Xu, Ping-Feng, Shan, Na, Tang, Man-Lai, Ho, George To-Sum |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844851/ https://www.ncbi.nlm.nih.gov/pubmed/36649269 http://dx.doi.org/10.1371/journal.pone.0279918 |
Ejemplares similares
-
Expectation-Maximization-Maximization: A Feasible MLE Algorithm for the Three-Parameter Logistic Model Based on a Mixture Modeling Reformulation
por: Zheng, Chanjin, et al.
Publicado: (2018) -
Maximum Entropy Expectation-Maximization Algorithm for Fitting Latent-Variable Graphical Models to Multivariate Time Series
por: Maanan, Saïd, et al.
Publicado: (2018) -
A Batch Rival Penalized Expectation-Maximization Algorithm for Gaussian Mixture Clustering with Automatic Model Selection
por: Wen, Jiechang, et al.
Publicado: (2012) -
A stochastic approximation expectation maximization algorithm for estimating Ramsay-curve three-parameter normal ogive model with non-normal latent trait distributions
por: Cui, Yuzheng, et al.
Publicado: (2022) -
Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms
por: Zeng, Gengsheng L., et al.
Publicado: (2019)