J. Gradus

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Gradus trusts overall

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

  1. Gary S. Collins
  2. Jerome H. Friedman
  3. Augustin Kelava
  4. Hui Zou
  5. Torsten Hothorn
  6. B. Cuthbert
  7. Carolin Strobl
  8. Georg Heinze
  9. Trevor J. Hastie
  10. Brian K. Lee

Papers from J. Gradus's perspective

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

  1. Stochastic gradient boosting
  2. Addendum: Regularization and variable selection via the elastic net
  3. Unbiased Recursive Partitioning: A Conditional Inference Framework
  4. Bias in random forest variable importance measures: Illustrations, sources and a solution
  5. Estimating causal effects of treatments in randomized and nonrandomized studies.
  6. Toward the future of psychiatric diagnosis: the seven pillars of RDoC (BMC Medicine)
  7. Energy and Policy Considerations for Deep Learning in NLP
  8. Reduction Techniques for Instance-Based Learning Algorithms
  9. Discriminant Analysis When the Initial Samples Are Misclassified
  10. Applying Quantitative Bias Analysis to Epidemiologic Data (Statistics for Biology and Health)

Their papers