Multiple Imputation for Missing Values through Conditional Semiparametric Odds Ratio Models

Biometrics

Volumn 67, Issue 3, 2011, Pages 799-809

  Chen, Hua Yun ^a   Xie, Hui ^a   Qian, Yi ^b  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Acceptance rejection sampling; Dirichlet process prior; Gibbs sampler; Hybrid MCMC; Molecular dynamics algorithm; Nonparametric Bayesian inference; Rejection control

Indexed keywords

BAYESIAN NETWORKS; DATA HANDLING; INFERENCE ENGINES; MARKOV PROCESSES; MONTE CARLO METHODS;

ACCEPTANCE-REJECTION SAMPLING; ACCEPTANCE/REJECTION; DIRICHLET PROCESS; DIRICHLET PROCESS PRIOR; GIBBS SAMPLERS; HYBRID MCMC; MOLECULAR DYNAMICS ALGORITHMS; NON-PARAMETRIC BAYESIAN INFERENCES; REJECTION CONTROLS; REJECTION SAMPLINGS;

MOLECULAR DYNAMICS;

ALGORITHM; BAYESIAN ANALYSIS; BIOMETRY; BONE; DATABASE; MARKOV CHAIN; MOLECULAR ANALYSIS; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PARAMETERIZATION; SAMPLER; SAMPLING; STATISTICAL ANALYSIS;

EID: 80052795869     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2010.01538.x     Document Type: Article

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