David Puelz
2016
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom David Puelz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from David Puelz's perspective
Ordered by how strongly the researchers David Puelz trusts endorse each paper. Same corpus, a different order for every researcher.
- Supplementary Appendix for"Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
- The central role of the propensity score in observational studies for causal effects
- Mixtures of g Priors for Bayesian Variable Selection
- The horseshoe estimator for sparse signals
- Let's Take the Con Out of Econometrics
- 4. Bayesian Propensity Score Estimators: Incorporating Uncertainties in Propensity Scores into Causal Inference
- Regression Shrinkage and Selection via the Lasso
- Split-Sample Instrumental Variables Estimates of the Return to Schooling
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Double/debiased machine learning for treatment and structural parameters
Their papers
- Regularization and confounding in linear regression for treatment effect estimation (2016) — 97 citations