On Multiple Imputation Through Finite Gaussian Mixture Models
Multiple Imputation is a frequently used method for dealing with partial nonresponse. In this paper the use of finite Gaussian mixture models for multiple imputation in a Bayesian setting is discussed. Simulation studies are illustrated in order to show performances of the proposed method.
KeywordsMultiple Imputation Gaussian Mixture Model Data Augmentation Label Switching Trace Plot
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