2 papers
stat.ME2025
Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
Seungyeon Oh, Seongoh Park, Hoyoung Park
This paper addresses classification problems with matrix-valued data, which commonly arise in applications such as neuroimaging and signal processing. Building on the assumption th…
stat.AP2024
Nonparametric Mean and Variance Adaptive Classification Rule for High-Dimensional Data with Heteroscedastic Variances
Seungyeon Oh, Hoyoung Park
In this study, we introduce an innovative methodology aimed at enhancing Fisher's Linear Discriminant Analysis (LDA) in the context of high-dimensional data classification scenario…