Statistical Inference in Missing Data by MCMC and Non-MCMC Multiple Imputation Algorithms: Assessing the Effects of Between-Imputation Iterations.
Masayoshi TakahashiPublished in: Data Sci. J. (2017)
Keyphrases
- missing data
- multiple imputation
- incomplete data
- missing values
- statistical databases
- statistical inference
- markov chain monte carlo
- bayesian inference
- low rank
- data imputation
- learning algorithm
- posterior distribution
- statistical learning
- imputation methods
- generative model
- expectation maximization
- semi supervised