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Peer-reviewedLicence not statedJournal of the American Statistical Association

Anytime-Valid Inference in Linear Models with Applications to Regression-Adjusted Causal Inference

  • Michael Lindon1
  • Dae Woong Ham2
  • Martin P. Tingley3
  • Iavor Bojinov4
4 affiliations
  1. 1Netflix, Inc
  2. 2Ross School of Business
  3. 3Microsoft
  4. 4Harvard Business School
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Cite

BibTeXRIS
BibTeX
@article{lindon2026anytimevalid,
  title = {{Anytime-Valid Inference in Linear Models with Applications to Regression-Adjusted Causal Inference}},
  author = {Michael Lindon and Dae Woong Ham and Martin P. Tingley and Iavor Bojinov},
  journal = {Journal of the American Statistical Association},
  year = {2026},
  month = jun,
  doi = {10.1080/01621459.2026.2692052},
  url = {https://arxiv.org/abs/2210.08589},
}
RIS
TY  - JOUR
TI  - Anytime-Valid Inference in Linear Models with Applications to Regression-Adjusted Causal Inference
AU  - Michael Lindon
AU  - Dae Woong Ham
AU  - Martin P. Tingley
AU  - Iavor Bojinov
PY  - 2026
DA  - 2026/06/23
JO  - Journal of the American Statistical Association
DO  - 10.1080/01621459.2026.2692052
UR  - https://arxiv.org/abs/2210.08589
SN  - 0162-1459
SN  - 1537-274X
ER  -