1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2025
A data-based notion of quantiles on Hadamard spaces
Ha-Young Shin, Hee-Seok Oh
This paper defines an alternative notion, described as data-based, of geometric quantiles on Hadamard spaces, in contrast to the existing methodology, described as parameter-based.…
stat.ME2024★ 1 cited
On a Notion of Graph Centrality Based on L1 Data Depth
Seungwoo Kang, Hee-Seok Oh
A new measure to assess the centrality of vertices in an undirected and connected graph is proposed. The proposed measure, L1 centrality, can adequately handle graphs with weights…
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…