Loading...
An imputation–regularized optimization algorithm for high dimensional missing data problems and beyond
Missing data are frequently encountered in high dimensional problems, but they are usually difficult to deal with by using standard algorithms, such as the expectation-maximization algorithm and its variants. To tackle this difficulty, some problem-specific algorithms have been developed in the lite...
Saved in:
| Published in: | J R Stat Soc Series B Stat Methodol |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2018
|
| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6533005/ https://ncbi.nlm.nih.gov/pubmed/31130816 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssb.12279 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|