Pei-Yi Tan

Statistics and Probability · 2010–2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pei-Yi Tan trusts overall

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

  1. Hui Zou
  2. Arthur U. Asuncion
  3. Gavin C. Cawley
  4. Trevor J. Hastie
  5. Robert Tibshirani
  6. R. Caruana
  7. Leo Breiman
  8. Nicola L. C. Talbot
  9. Jerome H. Friedman
  10. Thomas G. Dietterich

Papers from Pei-Yi Tan's perspective

Ordered by how strongly the researchers Pei-Yi Tan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Adaptive Lasso and Its Oracle Properties
  2. Ensemble selection from libraries of models
  3. Stacked regressions
  4. Multiple Classifier Systems
  5. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
  6. Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. (Journal of the National Cancer Institute)
  7. Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. (New England Journal of Medicine)
  8. Multiple-laboratory comparison of microarray platforms (Nature Methods)
  9. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1. (Blood)
  10. Thalidomide and hematopoietic-cell transplantation for multiple myeloma. (New England Journal of Medicine)

Their papers