Fei Tang
Statistics and Probability · with Ishwaran · 2017
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Fei Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Niko Speybroeck
- Daniel J. Stekhoven
- Po-Ling Loh
- Trevor J. Hastie
- Hemant Ishwaran
- Anoop D. Shah
- Olga G. Troyanskaya
- Peter Buhlmann
- Martin J. Wainwright
Papers from Fei Tang's perspective
Ordered by how strongly the researchers Fei Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Missing value estimation methods for DNA microarrays
- Random survival forests
- High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity (Neural Information Processing Systems)
- INFERENCE AND MISSING DATA
- Multiple Imputation After 18+ Years
- MissForest - non-parametric missing value imputation for mixed-type data (Bioinform.)
- Classification and regression trees
- Regression Shrinkage and Selection via the Lasso
- Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study (American Journal of Epidemiology)
Their papers
- Random forest missing data algorithms (2017) — 679 citations