Kevin Guo

Statistics and Probability · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 73 citations into it
• Artificial Intelligence — 10 citations into it
• Causal Inference & Discovery — 10 citations into it
• Economics and Econometrics — 8 citations into it
• Statistical Learning Theory — 8 citations into it

Whom Kevin Guo trusts overall

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

1. Donald B. Rubin
2. David Freedman
3. Paul R. Rosenbaum
4. James M. Robins
5. Xinran Li
6. W. Lin
7. R. Oaxaca
8. Alan S. Blinder
9. Patrick M. Kline
10. Susan Athey

Papers from Kevin Guo's perspective

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

1. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
2. Estimating causal effects of treatments in randomized and nonrandomized studies.
3. The central role of the propensity score in observational studies for causal effects
4. Regression Shrinkage and Selection via the Lasso
5. Estimation of Regression Coefficients When Some Regressors are not Always Observed
6. Statistics and Causal Inference
7. On regression adjustments to experimental data
8. Observational Studies
9. INFERENCE AND MISSING DATA
10. Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

Their papers

• Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing (2021) — 84 citations
• The Generalized Oaxaca-Blinder Estimator (2020) — 52 citations