most citedMulti-feature Clustering of Step Data using Multivariate Functional Principal Component Analysis

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

stat.ME2024

Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data

Seeun Park, Hee-Seok Oh, Yaeji Lim

This study proposes a novel method for forecasting a scalar variable based on high-dimensional predictors that is applicable to various data distributions. In the literature, one o…

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…