1 citations · 1 across the 6 of their papers we have counts for
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Principal Component Analysis in the Graph Frequency Domain
Kyusoon Kim, Hee-Seok Oh
We propose a novel principal component analysis in the graph frequency domain for dimension reduction of multivariate data residing on graphs. The proposed method not only effectiv…
Cross-Spectral Analysis of Bivariate Graph Signals
Kyusoon Kim, Hee-Seok Oh
With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and…
Absolute average and median treatment effects as causal estimands on metric spaces
Ha-Young Shin, Kyusoon Kim, Kwonsang Lee +1
We define the notions of absolute average and median treatment effects as causal estimands on general metric spaces such as Riemannian manifolds, propose estimators using stratific…
Geometric quantile-based measures of multivariate distributional characteristics
Ha-Young Shin, Hee-Seok Oh
Several new geometric quantile-based measures for multivariate dispersion, skewness, kurtosis, and spherical asymmetry are defined. These measures differ from existing measures, wh…