Ying-Ying Lee

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ying-Ying Lee trusts overall

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

  1. Victor Chernozhukov
  2. Susan Athey
  3. Whitney K. Newey
  4. Guido W. Imbens
  5. Xiaohong Chen
  6. Alexandre Belloni
  7. M. D. Cattaneo
  8. Donald B. Rubin
  9. D. Chetverikov
  10. Keisuke Hirano

Who trusts Ying-Ying Lee overall

  1. Qingliang Fan

Papers from Ying-Ying Lee's perspective

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

  1. Double/debiased machine learning for treatment and structural parameters
  2. Regression Shrinkage and Selection via the Lasso
  3. Efficient estimation of average treatment effects using the estimated propensity score
  4. The asymptotic variance of semiparametric estimators
  5. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
  6. The central role of the propensity score in observational studies for causal effects
  7. Estimating causal effects of treatments in randomized and nonrandomized studies.
  8. Irregular Identification, Support Conditions, and Inverse Weight Estimation
  9. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
  10. Local polynomial modelling and its applications

Their papers