Joint selection in mixed models using regularized PQL

Mathematics

• Penalized Quasi-likelihood 100%
• Mixed Model 72%
• Random Effects 66%
• Number of Clusters 32%
• Fixed Effects 30%
• Penalty 24%
• Effect Sparsity 22%
• Marginal Model 17%
• Marginal Likelihood 16%
• Generalized Linear Mixed Model 16%
• Information Criterion 16%
• Quasi-likelihood 16%
• Parameter Tuning 16%
• Random Coefficients 15%
• Sparsity 13%
• Model Selection 12%
• Simulation 8%
• Demonstrate 7%
• Zero 6%
• Coefficient 6%

Business & Economics

• Quasi-likelihood 96%
• Random Effects 93%
• Mixed Model 82%
• Fixed Effects 19%
• Penalty 19%
• Likelihood Estimation 16%
• Marginal Likelihood 15%
• Random Coefficients 13%
• Information Criterion 13%
• Model Selection 11%
• Coefficients 8%
• Simulation 7%