Cargando…
Rotation to Sparse Loadings Using [Formula: see text] Losses and Related Inference Problems
Researchers have widely used exploratory factor analysis (EFA) to learn the latent structure underlying multivariate data. Rotation and regularised estimation are two classes of methods in EFA that they often use to find interpretable loading matrices. In this paper, we propose a new family of obliq...
Autores principales: | Liu, Xinyi, Wallin, Gabriel, Chen, Yunxiao, Moustaki, Irini |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10188427/ https://www.ncbi.nlm.nih.gov/pubmed/37002429 http://dx.doi.org/10.1007/s11336-023-09911-y |
Ejemplares similares
-
A Note on Likelihood Ratio Tests for Models with Latent Variables
por: Chen, Yunxiao, et al.
Publicado: (2020) -
Standardized Regression Coefficients and Newly Proposed Estimators for [Formula: see text] in Multiply Imputed Data
por: van Ginkel, Joost R.
Publicado: (2020) -
Single- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection
por: Geminiani, Elena, et al.
Publicado: (2021) -
Weak and Strong Type [Formula: see text] –[Formula: see text] Estimates for Sparsely Dominated Operators
por: Frey, Dorothee, et al.
Publicado: (2018) -
Observation of B[Formula: see text]
[Formula: see text]
[Formula: see text] (2S)K[Formula: see text] and B[Formula: see text]
[Formula: see text]
[Formula: see text] (2S)K[Formula: see text] decays
por: Tumasyan, A., et al.
Publicado: (2022)