Linbo Wang

Statistics and Probability · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 32 citations into it
• Artificial Intelligence — 10 citations into it
• Causal Inference & Discovery — 10 citations into it
• Economics and Econometrics — 6 citations into it

Whom Linbo Wang trusts overall

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

1. Donald B. Rubin
2. Xiaohong Chen
3. S. Seaman
4. A. D'Amour
5. Theodore W. Anderson
6. Mathias Drton
7. Demian Pouzo
8. James M. Robins
9. Guido W. Imbens

Papers from Linbo Wang's perspective

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

1. Identification of Causal effects Using Instrumental Variables
2. Estimation of Regression Coefficients When Some Regressors are not Always Observed
3. Confounding and Collapsibility in Causal Inference
4. Causal inference by using invariant prediction: identification and confidence intervals
5. INFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER
6. Rates of strong uniform consistency for multivariate kernel density estimators
7. Structure Learning in Graphical Modeling
8. Semi‐Nonparametric IV Estimation of Shape‐Invariant Engel Curves
9. The Blessings of Multiple Causes
10. Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder

Their papers

• Multi-cause causal inference with unmeasured confounding and binary outcome. (2019) — 8 citations
• Causal inference with confounders missing not at random (2017) — 76 citations
• On Modeling and Estimation for the Relative Risk and Risk Difference (2015) — 71 citations