Spencer Woody
Statistics and Probability · 2019
A researcher in the Science corpus: 1 paper; trusts 5 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
- Statistical Learning Theory — 6 citations into it
Whom Spencer Woody trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Spencer Woody's perspective
Ordered by how strongly the researchers Spencer Woody trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- The central role of the propensity score in observational studies for causal effects
- Recursive partitioning for heterogeneous causal effects
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- Observational Studies
- Bayesian Nonparametric Modeling for Causal Inference
- BART: Bayesian Additive Regression Trees
- Double/debiased machine learning for treatment and structural parameters
- The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials
- Estimating individual treatment effect: generalization bounds and algorithms