Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
Journal article, 2025
Traffic safetyassessment
Adaptiveimportance sampling
Inverseprobability weighting
Optimal design
Computer simulationexperiments
Active learning
Author
Henrik Imberg
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Xiaomi Yang
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Carol Ann Cook Flannagan
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Jonas Bärgman
Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Safety
Technometrics
0040-1706 (ISSN) 1537-2723 (eISSN)
Vol. 67 1 46-57Improved quantitative driver behavior models and safety assessment methods for ADAS and AD (QUADRIS)
VINNOVA (2020-05156), 2021-04-01 -- 2024-03-31.
Supporting the interaction of Humans and Automated vehicles: Preparing for the Environment of Tomorrow (Shape-IT)
European Commission (EC) (EC/H2020/860410), 2019-10-01 -- 2023-09-30.
Areas of Advance
Transport
Subject Categories (SSIF 2011)
Probability Theory and Statistics
DOI
10.1080/00401706.2024.2374554