6 citations · 9 across the 2 of their papers we have counts for
2 papers
math.ST2023★ 3 cited
Optimal subsampling designs
Henrik Imberg, Marina Axelson-Fisk, Johan Jonasson
Subsampling is commonly used to overcome computational and economical bottlenecks in the analysis of finite populations and massive datasets. Existing methods are often limited in…
stat.ME2022★ 6 cited
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
Henrik Imberg, Xiaomi Yang, Carol Flannagan +1
Data subsampling has become widely recognized as a tool to overcome computational and economic bottlenecks in analyzing massive datasets. We contribute to the development of adapti…