Jonathan M. V. Davis
Statistics and Probability · 2017
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 8 citations into it
- Causal Inference & Discovery — 5 citations into it
Whom Jonathan M. V. Davis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Susan Athey
- Michael L. Anderson
- Stefan Wager
- Guido W. Imbens
- Gareth M. James
- Trevor J. Hastie
- Robert Tibshirani
- Donald B. Rubin
- Daniela M. Witten
Papers from Jonathan M. V. Davis's perspective
Ordered by how strongly the researchers Jonathan M. V. Davis trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- The Nature of Statistical Learning Theory
- SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
- Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects
- Bagging Predictors
- Addendum: Regularization and variable selection via the elastic net
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- The Elements of Statistical Learning
Their papers
- Using Causal Forests to Predict Treatment Heterogeneity: An Application to Summer Jobs (2017) — 170 citations
- Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs (2017) — 125 citations