Bayesian analysis for nonlinear mixed-effects models under heavy-tailed distributions.

Keyphrases

• NONMEM 100%
• Heavy-tailed Distribution 100%
• Bayesian Analysis 100%
• Within-subject 66%
• Random Effects 66%
• Scale Mixture of multivariate Normal Distribution 66%
• Tail Behavior 33%
• Parametric Model 33%
• Continuous Distribution 33%
• Model Comparison 33%
• Normality 33%
• Slash 33%
• Multivariate Distribution 33%
• Contaminated Normal 33%
• Posterior Analysis 33%
• Robustification 33%
• Pharmacokinetic Study 33%
• Robust Inference 33%
• Flexible Distributions 33%
• Bayesian Framework 33%
• Symmetric Distribution 33%
• Distribution Class 33%
• Variability Sources 33%

Mathematics

• Heavy-Tailed Distribution 100%
• Bayesian Analysis 100%
• Nonlinear Mixed Effects Model 100%
• Random Effect 66%
• Multivariate Normal Distribution 66%
• Bayesian 33%
• Wide Range 33%
• Continuous Distribution 33%
• Make Inference 33%
• Multivariate Distribution 33%
• Symmetric Distribution 33%
• Detect Outlier 33%
• Model Comparison 33%
• Parametric Model 33%

INIS

• distribution 100%
• nonlinear problems 100%
• multivariate analysis 37%
• mixtures 25%
• randomness 25%
• errors 25%
• comparative evaluations 12%
• datasets 12%
• range 12%
• implementation 12%
• modeling 12%
• symmetry 12%