Convergence analysis of data augmentation algorithms for Bayesian robust multivariate linear regression with incomplete data

Mathematics

• Data Augmentation 86%
• Incomplete Data 75%
• Linear regression 63%
• Imputation 60%
• Convergence Analysis 59%
• Monotone 30%
• Improper Prior 18%
• Geometric Ergodicity 18%
• Gaussian Mixture 17%
• Prior distribution 12%
• Linear Regression Model 12%
• Posterior distribution 12%
• Convergence Properties 11%
• Likelihood 11%
• Necessary 8%
• Modeling 8%
• Standards 7%
• Sufficient Conditions 6%

Business & Economics

• Data Augmentation 100%
• Incomplete Data 91%
• Imputation 66%
• Linear Regression 66%
• Monte Carlo Markov Chain 23%
• Yield Distributions 19%
• Ergodicity 18%
• Posterior Distribution 16%
• Linear Regression Model 14%
• Matrix 11%
• Modeling 7%