Kara E. Rudolph

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 — 19 citations into it
• Causal Inference & Discovery — 10 citations into it
• Artificial Intelligence — 7 citations into it

Whom Kara E. Rudolph trusts overall

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

1. M. J. van der Laan
2. Robert Tibshirani
3. James M. Robins
4. Sherri Rose
5. S. van Buuren

Papers from Kara E. Rudolph's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Targeted Learning: Causal Inference for Observational and Experimental Data
3. Estimation of Direct Causal Effects (Epidemiology)
4. Identifiability of Path-Specific Effects
5. Double machine learning for treatment and causal parameters
6. Causal Inference without Counterfactuals
7. Statistical Applications in Genetics and Molecular Biology Super Learner
8. Efficient and Adaptive Estimation for Semiparametric Models.
9. On Partial Identification of the Pure Direct Effect
10. MICE: Multivariate Imputation by Chained Equations in R

Their papers

• Nonparametric efficient causal mediation with intermediate confounders (2019) — 69 citations