From the 1 of 4 linked papers with an AI index.
4 papers
An association measure for mixed-type variables
Yongjae Kim, Haeun Moon, Sungkyu Jung
The paper introduces a label‑invariant, normalized measure of association for a real‑valued variable and a categorical variable, along with a fast O(n log n) estimator and associat…
Joint estimation of high-dimensional spiked covariance matrices via a partially shared subspace
Changwon Yoon, Minwoo Kim, Sungkyu Jung +1
Statistical analysis of high-dimensional data is often hampered by limited sample sizes, yet auxiliary datasets from related sources are often readily available. When two such data…
Optimal Test-Data Piling in HDLSS Classification with Covariance Heterogeneity
Taehyun Kim, Jeongyoun Ahn, Sungkyu Jung
This work addresses a longstanding question in high-dimensional linear classification: Is perfect classification achievable in heterogeneous covariance structures? We focus on the…
Variable selection and basis learning for ordinal classification
Minwoo Kim, Sangil Han, Jeongyoun Ahn +1
We propose a method for variable selection and basis learning for high-dimensional classification with ordinal responses. The proposed method extends sparse multiclass linear discr…