11 citations · 16 across the 6 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
stat.ME2020★ 1 cited
Multi-feature Clustering of Step Data using Multivariate Functional Principal Component Analysis
Wookyeong Song, Hee-Seok Oh, Yaeji Lim +1
This paper presents a new statistical method for clustering step data, a popular form of health record data easily obtained from wearable devices. Since step data are high-dimensio…
stat.ML2020★ 1 cited
Robust Geodesic Regression
Ha-Young Shin, Hee-Seok Oh
This paper studies robust regression for data on Riemannian manifolds. Geodesic regression is the generalization of linear regression to a setting with a manifold-valued dependent…
stat.ME2020★ 11 cited
Spherical Principal Curves
Jang-Hyun Kim, Jongmin Lee, Hee-Seok Oh
This paper presents a new approach for dimension reduction of data observed in a sphere. Several dimension reduction techniques have recently developed for the analysis of non-Eucl…