Edward H. Kennedy
Statistics and Probability · 2015–2022
A researcher in the Science corpus: 8 papers; trusts 117 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 182 citations into it; #3,001 of 12,932 by trust here, #5,857 by citations
- Artificial Intelligence — 48 citations into it
- Causal Inference & Discovery — 38 citations into it
- Statistical Learning Theory — 27 citations into it
- Economics and Econometrics — 20 citations into it
- Management Science and Operations Research — 14 citations into it
- Safety, Robustness & Interpretability — 13 citations into it
- Sociology and Political Science — 11 citations into it
Whom Edward H. Kennedy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. J. van der Laan
- Donald B. Rubin
- James M. Robins
- Anastasios A. Tsiatis
- Alexandre B. Tsybakov
- Victor Chernozhukov
- Wenjing Zheng
- E. T. Tchetgen Tchetgen
- Whitney K. Newey
- Judea Pearl
Who trusts Edward H. Kennedy overall
- Amanda Coston
- Rina Friedberg
- Victor Veitch
- Eli Ben-Michael
- Michael Zimmert
- Alexandra Chouldechova
- Victor Chernozhukov
- Julie Tibshirani
- Yixin Wang
- Lihua Lei
Papers from Edward H. Kennedy's perspective
Ordered by how strongly the researchers Edward H. Kennedy trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- The central role of the propensity score in observational studies for causal effects
- ImageNet classification with deep convolutional neural networks
- Estimation of Regression Coefficients When Some Regressors are not Always Observed
- Bayesian Inference for Causal Effects: The Role of Randomization
- Supplementary Appendix for"Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
- Statistics and Causal Inference
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
Their papers
- Towards optimal doubly robust estimation of heterogeneous causal effects (2020) — 504 citations
- Semiparametric theory and empirical processes in causal inference (2015) — 205 citations
- An introduction to g methods. (2016) — 339 citations
- Semiparametric doubly robust targeted double machine learning: a review (2022) — 310 citations
- Semiparametric Counterfactual Density Estimation (2021) — 79 citations
- Time-uniform central limit theory and asymptotic confidence sequences (2021) — 52 citations
- Counterfactual risk assessments, evaluation, and fairness (2019) — 135 citations
- Non‐parametric methods for doubly robust estimation of continuous treatment effects (2015) — 328 citations