Regularized variational estimation for exploratory item factor analysis

Factor analysis and principal components; correspondence analysis (62H25) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to psychology (62P15)

Cites Work

Unnamed Item
Unnamed Item
Unnamed Item
Nearly unbiased variable selection under minimax concave penalty
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects
Global solutions to folded concave penalized nonconvex learning
The varimax criterion for analytic rotation in factor analysis
Asymptotic properties of criteria for selection of variables in multiple regression
Multidimensional item reponse theory.
High-dimensional exploratory item factor analysis by a Metropolis-Hastings Robbins-Monro algorithm
On the relationship between item response theory and factor analysis of discretized variables
An introduction to variational methods for graphical models
A rationale and test for the number of factors in factor analysis
Rotation to simple loadings using component loss functions: the orthogonal case
Rotation to simple loadings using component loss functions: the oblique case
Joint maximum likelihood estimation for high-dimensional exploratory item factor analysis
Latent variable selection for multidimensional item response theory models via \(L_{1}\) regularization
Pathwise coordinate optimization
Accurate Approximations for Posterior Moments and Marginal Densities
Maximum Likelihood Algorithms for Generalized Linear Mixed Models
Identifying Latent Structures in Restricted Latent Class Models
A mixture hierarchical model for response times and response accuracy
Likelihood-Based Selection and Sharp Parameter Estimation
An improved stochastic <scp>EM</scp> algorithm for large‐scale full‐information item factor analysis
Tuning Parameter Selection in High Dimensional Penalized Likelihood

This page was built for publication: Regularized variational estimation for exploratory item factor analysis