The calculation of posterior distributions by data augmentation

Keyphrases

• Posterior Distribution 100%
• Data Augmentation 100%
• Maximum Likelihood Estimation 40%
• EM Algorithm 40%
• Genetic Linkage 20%
• Multiple Imputation 20%
• Incomplete Data 20%
• Mutual Dependence 20%
• Correlation Coefficient 20%
• Parameter Distribution 20%
• Categorical Data 20%
• Regularity Conditions 20%
• Maximum Likelihood Method 20%
• Common Model 20%
• Successive Substitution 20%
• Iterative Algorithm 20%
• Fixed Point Equation 20%
• Multiple Values 20%
• General Social Survey 20%
• Bivariate Normal Distribution 20%
• Latent Class Model 20%
• Lairds 20%
• Predictive Distribution 20%
• Multinomial 20%
• Posterior Density 20%
• Two-way Tables 20%
• Latent Data 20%
• Augmented Data 20%
• Missing Value Problem 20%
• Parametric Surface 20%

Mathematics

• Posterior Distribution 100%
• Parametric 40%
• Submodels 40%
• EM Algorithm 40%
• Observed Data 40%
• Maximum Likelihood Estimate 40%
• Bayesian 20%
• Regularity Condition 20%
• correlation coefficient ρ 20%
• Fixed Points 20%
• Point Equation 20%
• Incomplete Data 20%
• Bivariate Normal Distribution 20%
• Multiple Imputation 20%
• Missing Value 20%
• Predictive Distribution 20%
• Normal Likelihood 20%
• Probability Theory 20%
• Categorical Data 20%
• Maximum Likelihood 20%