Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data
Author:
Affiliation:
1. Google Inc., Mountain View, CA;
2. Department of Statistics, Iowa State University, Ames, IA;
3. Department of Information Systems, Statistics and Management Science, University of Alabama, Tuscaloosa, AL
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1796358
Reference35 articles.
1. Approximation of probability distributions by convex mixtures of Gaussian measures
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3. mice: Multivariate Imputation by Chained Equations inR
4. Compatibility of conditionally specified models
5. Optimal Rate of Convergence for Finite Mixture Models
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