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David Bruns-Smith

Stanford University (from arXiv:2603.20936, 2026) · ORCID · OpenAlex

3 papers in scope · 2 published · 1 on the econ.EM arXiv · 6 citations · h-index 1 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Masahiro Kato
  2. Wisse Rutgers
  3. Bijan A. Niknam
  4. Elizabeth A. Stuart
  5. Kara E. Rudolph
  6. Oliver Dukes
  7. Elizabeth L. Ogburn
  8. David Arbour
  9. Rahul Singh
  10. Avi Feller
  11. Lars van der Laan
  12. Mark van der Laan
  13. Demián Pouzo
  14. Harsh Parikh
  15. Whitney K. Newey
  16. Victor Quintas-Martinez
  17. Kentaro Kawato
  18. Victor Chernozhukov
  19. Chang Li
  20. Na Liu

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(2 of 3)

Authors’ reply to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al.
published2026 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
with Oliver Dukes, Avi Feller, Elizabeth L. Ogburn
Journal of the Royal Statistical Society Series B (Statistical Methodology)
Two Approaches to Direct Estimation of Riesz Representers
working paper2026 · arXiv
Paper profile arXiv:2603.20936
Augmented balancing weights as linear regression
published2025 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 6 citations · first circulated 2023
with Oliver Dukes, Avi Feller, Elizabeth L. Ogburn
Paper profile Journal of the Royal Statistical Society Series B (Statistical Methodology) arXiv:2304.14545

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.