Jacob Dorn

Statistics and Probability · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Dorn trusts overall

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

  1. Donald B. Rubin
  2. Paul R. Rosenbaum
  3. Susan Athey
  4. James M. Robins
  5. Nicolai Meinshausen
  6. Zhiqiang Tan
  7. Guido W. Imbens
  8. Keisuke Hirano
  9. Nathan Kallus
  10. Roger W. Koenker

Papers from Jacob Dorn's perspective

Ordered by how strongly the researchers Jacob Dorn 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. The central role of the propensity score in observational studies for causal effects
  4. Regression Shrinkage and Selection via the Lasso
  5. Double/debiased machine learning for treatment and structural parameters
  6. Estimation of Regression Coefficients When Some Regressors are not Always Observed
  7. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
  8. ImageNet classification with deep convolutional neural networks
  9. Statistics and Causal Inference
  10. INFERENCE AND MISSING DATA

Their papers