50 citations · 74 across the 11 of their papers we have counts for
18 papers
Long-term effect estimation when combining clinical trial and observational follow-up datasets
Gang Cheng, Yen-Chi Chen, Joseph M. Unger +2
Combining experimental and observational follow-up datasets has received a lot of attention lately. In a time-to-event setting, recent work has used medicare claims to extend the f…
Efficient Community Detection in Large-Scale Dynamic Networks Using Topological Data Analysis
Wei Guo, Ruqian Chen, Yen-Chi Chen +1
In this paper, we propose a method that extends the persistence-based topological data analysis (TDA) that is typically used for characterizing shapes to general networks. We intro…
Multistage Estimators for Missing Covariates and Incomplete Outcomes
Daniel Suen, Yen-Chi Chen
We study problems with multiple missing covariates and partially observed responses. We develop a new framework to handle complex missing covariate scenarios via inverse probabilit…
Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation
Steven Wilkins-Reeves, Yen-Chi Chen, Kwun Chuen Gary Chan
Data harmonization is the process by which an equivalence is developed between two variables measuring a common trait. Our problem is motivated by dementia research in which multip…
The EM Perspective of Directional Mean Shift Algorithm
Yikun Zhang, Yen-Chi Chen
The directional mean shift (DMS) algorithm is a nonparametric method for pursuing local modes of densities defined by kernel density estimators on the unit hypersphere. In this pap…
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data
Yikun Zhang, Yen-Chi Chen
Directional data consist of observations distributed on a (hyper)sphere, and appear in many applied fields, such as astronomy, ecology, and environmental science. This paper studie…