1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2024
Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
Shimeng Huang, Niklas Pfister, Jack Bowden
Observational genome-wide association studies are now widely used for causal inference in genetic epidemiology. To maintain privacy, such data is often only publicly available as s…
stat.ME2024★ 1 cited
Causal Change Point Detection and Localization
Shimeng Huang, Jonas Peters, Niklas Pfister
Detecting and localizing change points in sequential data is of interest in many areas of application. Various notions of change points have been proposed, such as changes in mean,…