James S. Koopman

Statistics and Probability · 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 James S. Koopman trusts overall

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

1. Judea Pearl

Papers from James S. Koopman's perspective

Ordered by how strongly the researchers James S. Koopman 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. Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport

Their papers

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