Marc Scott

Statistics and Probability · 2006–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 33 citations into it; #10,143 of 12,932 by trust here, #5,481 by citations
• Causal Inference & Discovery — 13 citations into it; #286 of 364 by trust here, #212 by citations
• Artificial Intelligence — 11 citations into it; #27,281 of 35,345 by trust here, #20,836 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Marc Scott trusts overall

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

1. Donald B. Rubin
2. James M. Robins
3. Guido W. Imbens
4. Robert Tibshirani
5. Jennifer L. Hill
6. Paul R. Rosenbaum
7. Thomas G. Dietterich
8. Jeremy Smith

Who trusts Marc Scott overall

1. Liangyuan Hu

Papers from Marc Scott's perspective

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

1. The central role of the propensity score in observational studies for causal effects
2. Regression Shrinkage and Selection via the Lasso
3. Random Forests
4. Observational Studies
5. Unified Methods for Censored Longitudinal Data and Causality
6. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
7. Recursive partitioning for heterogeneous causal effects
8. Doubly Robust Estimation in Missing Data and Causal Inference Models
9. Bayesian Nonparametric Modeling for Causal Inference
10. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects

Their papers

• Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition (2017) — 350 citations
• Relative Success? Determinants of College Graduation Rates in Public and Private Colleges in the U.S. (2006) — 164 citations