Pei Wang

Statistics and Probability · Journal of The Royal Statistical Society Series B-statistical Methodology · 2005–2011

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Pei Wang trusts overall

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

  1. Robert Tibshirani
  2. Nicolai Meinshausen
  3. Jerome H. Friedman
  4. Ming Yuan
  5. Trevor J. Hastie
  6. David Ruppert
  7. Peter Buhlmann
  8. Jianqing Fan
  9. Eric R. Ziegel
  10. John D. Storey

Who trusts Pei Wang overall

  1. Nicholas Alexander Johnson
  2. Javier Zapata
  3. Jun Liu
  4. Alnur Ali
  5. Robert Tibshirani
  6. Seongho Kim
  7. Zaïd Harchaoui
  8. Mathias Drton
  9. Jiliang Tang
  10. Sangwon Hyun

Papers from Pei Wang's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Model selection and estimation in regression with grouped variables
  3. The Elements of Statistical Learning
  4. High-dimensional graphs and variable selection with the Lasso
  5. PATHWISE COORDINATE OPTIMIZATION
  6. ImageNet classification with deep convolutional neural networks
  7. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  8. Model selection and estimation in the Gaussian graphical model
  9. Gradient-based learning applied to document recognition
  10. Controlling the false discovery rate: a practical and powerful approach to multiple testing

Their papers