On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation.
Hakan DemirtasLester M. ArguellesHwan ChungDonald HedekerPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- low variance
- bias variance decomposition
- bayesian estimation
- missing data
- variance reduction
- maximum likelihood
- reduction method
- data driven
- estimation algorithm
- multiple imputation
- accurate estimation
- gaussian processes
- standard deviation
- correlation coefficient
- markov random field prior
- bayesian decision
- unbiased estimator
- bayes classification
- confidence intervals
- importance sampling
- robust estimation
- machine learning
- estimation error
- incomplete data
- posterior probability
- missing values
- sample size
- parameter estimation
- markov chain
- bayesian networks