2.5k citations · 3.4k across the 49 of their papers we have counts for
6 papers · 1 filter
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…
Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
Yikun Zhang, Yen-Chi Chen
The set of local modes and density ridge lines are important summary characteristics of the data-generating distribution. In this work, we focus on estimating local modes and densi…
Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data
Yikun Zhang, Yen-Chi Chen
This paper studies the linear convergence of the subspace constrained mean shift (SCMS) algorithm, a well-known algorithm for identifying a density ridge defined by a kernel densit…
Skeleton Clustering: Dimension-Free Density-based Clustering
Zeyu Wei, Yen-Chi Chen
We introduce a density-based clustering method called skeleton clustering that can detect clusters in multivariate and even high-dimensional data with irregular shapes. To bypass t…
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…