Tammy Jiang

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 Tammy Jiang 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. Brian K. Lee
  10. Quentin J. M. Huys

Papers from Tammy Jiang's perspective

Ordered by how strongly the researchers Tammy Jiang 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. Estimating causal effects of treatments in randomized and nonrandomized studies.
  4. Unbiased Recursive Partitioning: A Conditional Inference Framework
  5. Bias in random forest variable importance measures: Illustrations, sources and a solution
  6. The Elements of Statistical Learning
  7. Regression Shrinkage and Selection via the Lasso
  8. Toward the future of psychiatric diagnosis: the seven pillars of RDoC (BMC Medicine)
  9. Energy and Policy Considerations for Deep Learning in NLP
  10. The Nature of Statistical Learning Theory

Their papers