Accelerating L1-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models

Keyphrases

• EML1 100%
• Two-parameter Logistic Model 100%
• Latent Variable Selection 100%
• Expectation-maximization Algorithm 100%
• Factor Rotation 33%
• Rotational Method 16%
• Coordinate Descent Algorithm 16%
• Log-likelihood Ratio 16%
• Computational Burden 16%
• Likelihood Methods 16%
• Test Response 16%
• Simulation Study 16%
• Eysenck Personality Questionnaire 16%
• Latent Trait 16%
• Multidimensional Item Response Theory 16%
• Penalized Log-likelihood 16%
• Response Data 16%

Mathematics

• Expectation-Maximization Algorithm 100%
• Log Likelihood 100%
• Logistic Model 100%
• Exploratory Data Analysis 50%
• Simulation Study 50%
• Response Data 50%
• Real Data 50%
• Loading Matrix 50%

Computer Science

• Response Theory 100%
• Personality Questionnaire 100%
• Real Data Sets 100%
• Feature Selection 100%
• Simulation Study 100%