Matt Goldman

Statistics and Probability · 2017

A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matt Goldman trusts overall

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

  1. Victor Chernozhukov
  2. Alexandre Belloni
  3. D. Chetverikov
  4. Whitney K. Newey
  5. Kengo Kato
  6. Yoav Benjamini
  7. Stephen G. Donald
  8. Jinyong Hahn
  9. Adel Javanmard
  10. Susan Athey

Papers from Matt Goldman's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. On asymptotically optimal confidence regions and tests for high-dimensional models
  3. Supplementary Appendix for"Inference on Treatment Effects After Selection Amongst High-Dimensional Controls"
  4. Double/debiased machine learning for treatment and structural parameters
  5. The asymptotic variance of semiparametric estimators
  6. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  7. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
  8. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  9. Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions
  10. Recursive partitioning for heterogeneous causal effects

Their papers