Kurt Ulm

Statistics and Probability · 2002–2012

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kurt Ulm trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Leo Breiman
  2. S. van Buuren
  3. Carolin Strobl
  4. J. Ross Quinlan
  5. Torsten Hothorn
  6. Hyunjoong Kim

Who trusts Kurt Ulm overall

  1. Aaron Fisher

Papers from Kurt Ulm's perspective

Ordered by how strongly the researchers Kurt Ulm trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Elements of Statistical Learning
  2. INFERENCE AND MISSING DATA
  3. Bagging Predictors
  4. Random Forests
  5. C4.5: Programs for Machine Learning
  6. Screening large-scale association study data: exploiting interactions using random forests
  7. Bias in random forest variable importance measures: Illustrations, sources and a solution
  8. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
  9. Missing covariate data in medical research: to impute is better than to ignore. (Journal of Clinical Epidemiology)
  10. Multiple imputation using chained equations: Issues and guidance for practice (Statistics in Medicine)

Their papers