Daniel J. Stekhoven
Artificial Intelligence · 2011–2018
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Statistics and Probability — 8 citations into it; #2,341 of 12,932 by trust here, #3,102 by citations
Whom Daniel J. Stekhoven trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Subir Ghosh
- Trevor J. Hastie
- Rahul Mazumder
- Trivellore E. Raghunathan
- Shigeyuki Oba
- Olga G. Troyanskaya
- Leo Breiman
- S. van Buuren
- James M. Lepkowski
Who trusts Daniel J. Stekhoven overall
- Julie Josse
- Emmanuel John Muico Carranza
- Jinsung Yoon
- Anoop D. Shah
- Gilles Louppe
- François Husson
- Alice G. Laborte
- Pierre-Alexandre Mattei
- Alexander Kowarik
- Fei Tang
Papers from Daniel J. Stekhoven's perspective
Ordered by how strongly the researchers Daniel J. Stekhoven trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Statistical Analysis With Missing Data
- Missing value estimation methods for DNA microarrays
- Random Forests
- The Elements of Statistical Learning
- Spectral Regularization Algorithms for Learning Large Incomplete Matrices
- Analysis of Incomplete Multivariate Data (Technometrics)
- A multivariate technique for multiply imputing missing values using a sequence of regression models
- Multiple imputation of discrete and continuous data by fully conditional specification
- The Nature of Statistical Learning Theory
Their papers
- MissForest - non-parametric missing value imputation for mixed-type data (2011) — 5,545 citations
- From hype to reality: data science enabling personalized medicine (2018) — 359 citations
- missForest: Nonparametric missing value imputation using random forest (2015) — 326 citations