Daniel Feaster

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 12 citations into it; #7,740 of 12,932 by trust here, #9,233 by citations
• Causal Inference & Discovery — 7 citations into it

Whom Daniel Feaster trusts overall

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

1. Donald B. Rubin
2. Jennifer L. Hill

Who trusts Daniel Feaster overall

1. Ahmed M. Alaa
2. Individualized Treat

Papers from Daniel Feaster's perspective

Ordered by how strongly the researchers Daniel Feaster 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. Bayesian Nonparametric Modeling for Causal Inference
4. Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study
5. The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials
6. BART: Bayesian Additive Regression Trees
7. Subgroup Analysis via Recursive Partitioning
8. Random survival forests
9. Subgroup identification from randomized clinical trial data
10. Efficient estimation of average treatment effects using the estimated propensity score

Their papers

• Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods (2017) — 160 citations