Mo Wang

Statistics and Probability · with Bian · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it
• Causal Inference & Discovery — 11 citations into it

Whom Mo Wang trusts

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

1. Judea Pearl (in Statistics and Probability)

Papers from Mo Wang's perspective

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

1. Causality : Models , Reasoning , and Inference
2. Causal inference and the data-fusion problem
3. Causal diagrams for empirical research
4. Estimating causal effects from epidemiological data (Journal of Epidemiology and Community Health)
5. Counterfactual Fairness (Neural Information Processing Systems)
6. Targeted Learning: Causal Inference for Observational and Experimental Data
7. Targeted Maximum Likelihood Learning
8. Estimating individual treatment effect: generalization bounds and algorithms
9. The use of misclassification costs to learn rule-based decision support models for cost-effective hospital admission strategies.
10. An introduction to g methods.

Their papers

• Causal inference and counterfactual prediction in machine learning for actionable healthcare (2020) — 432 citations