Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated 58 min ago
Peer-reviewedLicence not statedThe Annals of Applied Statistics

PPI++: Efficient prediction-powered inference

  1. 1Department of Electrical Engineering and Computer Sciences, UC Berkeley
  2. 2Departments of Statistics and Electrical Engineering, Stanford University
  3. 3Departments of Statistics and Management Science & Engineering, Stanford University

Related

  1. Beyond Point Predictions: Distribution-Informed Prediction-Powered Inference
    Maoyu Zhang, Jingfei Zhang, Xuming He
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  2. Covariance-Calibrated Prediction-Powered Inference
    Siyuan Chen, Yang Bai, Huichen Zhu
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  3. Cluster-Robust Prediction-Powered Inference
    David Broska, Michael Howes
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  4. Conditional validity of prediction-powered inference for spatially dependent finite populations
    Shinichiro Shirota
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  5. Prediction-powered inference for time series across space
    Shahzar Rizvi, David Burt, Vishwak Srinivasan +3
    arXivPreprintarXiv licenceFull textStatisticsarXiv
BibTeX
@article{angelopoulos2026efficient,
  title = {{PPI++: Efficient prediction-powered inference}},
  author = {Anastasios N. Angelopoulos and John C. Duchi and Tijana Zrnic},
  journal = {The Annals of Applied Statistics},
  year = {2026},
  month = sep,
  doi = {10.1214/26-aoas2215},
  url = {http://arxiv.org/abs/2311.01453},
}
RIS
TY  - JOUR
TI  - PPI++: Efficient prediction-powered inference
AU  - Anastasios N. Angelopoulos
AU  - John C. Duchi
AU  - Tijana Zrnic
PY  - 2026
DA  - 2026/09/01
JO  - The Annals of Applied Statistics
DO  - 10.1214/26-aoas2215
UR  - http://arxiv.org/abs/2311.01453
SN  - 1932-6157
SN  - 1941-7330
ER  -