Scott Powers

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Powers trusts overall

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

  1. Peter C. Austin
  2. Donald B. Rubin
  3. Jerome H. Friedman
  4. Susan Athey
  5. Trevor J. Hastie
  6. Guido W. Imbens
  7. Kosuke Imai
  8. Stefan Wager
  9. Donald P. Green
  10. Marvin N. Wright

Who trusts Scott Powers overall

  1. Ahmed M. Alaa
  2. Xinkun Nie
  3. Mihaela van der Schaar
  4. Dimitris J. Bertsimas
  5. Jack Dunn
  6. Stefan Wager

Papers from Scott Powers's perspective

Ordered by how strongly the researchers Scott Powers 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. Estimating causal effects of treatments in randomized and nonrandomized studies.
  3. Random Forests
  4. Greedy function approximation: A gradient boosting machine.
  5. Estimating Individualized Treatment Rules Using Outcome Weighted Learning
  6. On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
  7. Regression Shrinkage and Selection via the Lasso
  8. Modeling Heterogeneous Treatment Effects in Survey Experiments with Bayesian Additive Regression Trees
  9. Recursive partitioning for heterogeneous causal effects
  10. The elements of statistical learning: data mining, inference and prediction

Their papers