Search Results for author:
Found 2 papers, 2 papers with code
Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errors
In this study, a novel RF-based multiple imputation method was proposed by constructing conditional distributions the empirical distribution of out-of-bag prediction errors.
Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForest
Machine learning iterative imputation methods have been well accepted by researchers for imputing missing data, but they can be time-consuming when handling large datasets.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
