Pengyuan Wang

Statistics and Probability · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pengyuan Wang trusts overall

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

  1. Leo Breiman
  2. Kosuke Imai
  3. Eric R. Ziegel
  4. Peter C. Austin
  5. Paul R. Rosenbaum
  6. Donald B. Rubin
  7. Peter Buhlmann
  8. Zhitang Chen
  9. M. Cepeda
  10. Dominik Janzing

Who trusts Pengyuan Wang overall

  1. Liuyi Yao
  2. Sheng Li

Papers from Pengyuan Wang's perspective

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

  1. The central role of the propensity score in observational studies for causal effects
  2. Bagging Predictors
  3. The Elements of Statistical Learning
  4. ImageNet classification with deep convolutional neural networks
  5. Information-geometric approach to inferring causal directions
  6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Causality : Models , Reasoning , and Inference
  9. Do Get-Out-the-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers