Kyongwon Kim

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the bias of commercial insurance premiums.
J. Comput. Appl. Math.
Minji Park, Minjeong Park, Kyongwon Kim, Kyuri Jo, Jae Youn Ahn
2026 J jnl
Valid asymptotic inference after sufficient dimension reduction in a single-index framework.
Stat. Comput.
Kyongwon Kim, Jun Song, Jae Keun Yoo
2025 J jnl
Learning causal graphs via nonlinear sufficient dimension reduction.
J. Mach. Learn. Res.
Eftychia Solea, Bing Li, Kyongwon Kim
2025 J jnl
Multivariate response directional regression: a projective resampling approach.
J. Big Data
Ahreum Lee, Kyongwon Kim
2025 J jnl
Nonlinear Functional Sufficient Dimension Reduction via Principal Fitted Components.
Stat. Comput.
Minjee Kim, Yujin Park, Kyongwon Kim, Jae Keun Yoo
2025 J jnl
On sufficient dimension reduction methods based on a graphical model with non-concave penalty.
Stat. Comput.
Yujin Park, Kyongwon Kim, Jae Keun Yoo
2025 J jnl
Sparse sufficient dimension reduction for directional regression.
J. Big Data
Gayun Kwon, Gijeong Noh, Kyongwon Kim
2025 J jnl
Vehicle-Specific Virtual Traffic Control Strategy to Reduce the Start-Up Delay for Autonomous Heavy Trucks.
IEEE Trans. Intell. Veh.
Yohee Han, Saeideh Esmaeili, Haesung Ahn, Yong Hoon Kim, Kyongwon Kim
2024 J jnl
On Sufficient Graphical Models.
J. Mach. Learn. Res.
Bing Li, Kyongwon Kim
2023 J jnl
On Sufficient Graphical Models.
CoRR
Bing Li, Kyongwon Kim
2023 J jnl
On a nonlinear extension of the principal fitted component model.
Comput. Stat. Data Anal.
Jun Song, Kyongwon Kim, Jae Keun Yoo
2022 J jnl
On cross-distance selection algorithm for hybrid sufficient dimension reduction.
Comput. Stat. Data Anal.
Yujin Park, Kyongwon Kim, Jae Keun Yoo
2022 J jnl
On principal graphical models with application to gene network.
Comput. Stat. Data Anal.
Kyongwon Kim