Kyle Colangelo

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 Kyle Colangelo trusts overall

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

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

Who trusts Kyle Colangelo overall

  1. Qingliang Fan
  2. Stefan Tubbicke
  3. Yu‐Chin Hsu
  4. Victor Chernozhukov
  5. Robert P. Lieli

Papers from Kyle Colangelo's perspective

Ordered by how strongly the researchers Kyle Colangelo 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. The central role of the propensity score in observational studies for causal effects
  6. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
  7. Estimating causal effects of treatments in randomized and nonrandomized studies.
  8. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
  9. ImageNet classification with deep convolutional neural networks
  10. Local polynomial modelling and its applications

Their papers