1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.ST2024
Spatially Randomized Designs Can Enhance Policy Evaluation
Ying Yang, Chengchun Shi, Fang Yao +2
This article studies the benefits of using spatially randomized experimental designs which partition the experimental area into distinct, non-overlapping units with treatments assi…
stat.ME2023★ 1 cited
Dynamic Matrix Recovery
Ziyuan Chen, Ying Yang, Fang Yao
Matrix recovery from sparse observations is an extensively studied topic emerging in various applications, such as recommendation system and signal processing, which includes the m…
stat.ME2022
Policy Evaluation for Temporal and/or Spatial Dependent Experiments
Shikai Luo, Ying Yang, Chengchun Shi +3
The aim of this paper is to establish a causal link between the policies implemented by technology companies and the outcomes they yield within intricate temporal and/or spatial de…