4 papers
Identification and Estimation of Heterogeneous Interference Effects under Unknown Network
Yuhua Zhang, Jukka-Pekka Onnela, Shuo Sun +1
Interference--in which a unit's outcome is affected by the treatment of other units--poses significant challenges for the identification and estimation of causal effects. Most exis…
Moment-assisted subsampling method for Cox proportional hazards model with large-scale data
Miaomiao Su, Ruoyu Wang
The Cox proportional hazards model is widely used in survival analysis to model time-to-event data. However, it faces significant computational challenges in the era of large-scale…
Denoising Data with Measurement Error Using a Reproducing Kernel-Based Diffusion Model
Mingyang Yi, Marcos Matabuena, Zhiming Ma +1
Recent advancements in measurement technologies have facilitated the acquisition of high-resolution data in fields such as engineering, biology, and medicine. However, these observ…
Subsampled One-Step Estimation for Fast Statistical Inference
Miaomiao Su, Ruoyu Wang
Subsampling is an effective approach to alleviate the computational burden associated with large-scale datasets. Nevertheless, existing subsampling estimators incur a substantial l…