Peer-reviewedLicence not statedThe Annals of Applied Statistics
PPI++: Efficient prediction-powered inference
- 1Department of Electrical Engineering and Computer Sciences, UC Berkeley
- 2Departments of Statistics and Electrical Engineering, Stanford University
- 3Departments of Statistics and Management Science & Engineering, Stanford University
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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 -