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2020 – today
- 2026
[j12]Minji Park, Minjeong Park, Kyongwon Kim, Kyuri Jo, Jae Youn Ahn:
On the bias of commercial insurance premiums. J. Comput. Appl. Math. 475: 117019 (2026)- [j11]Kyongwon Kim, Jun Song, Jae Keun Yoo
:
Valid asymptotic inference after sufficient dimension reduction in a single-index framework. Stat. Comput. 36(1): 24 (2026) - 2025
- [j10]Ahreum Lee, Kyongwon Kim:
Multivariate response directional regression: a projective resampling approach. J. Big Data 12(1): 123 (2025) - [j9]Gayun Kwon, Gijeong Noh, Kyongwon Kim:
Sparse sufficient dimension reduction for directional regression. J. Big Data 12(1): 163 (2025) - [j8]Eftychia Solea, Bing Li, Kyongwon Kim:
Learning causal graphs via nonlinear sufficient dimension reduction. J. Mach. Learn. Res. 26: 75:1-75:46 (2025) - [j7]Yujin Park, Kyongwon Kim, Jae Keun Yoo:
On sufficient dimension reduction methods based on a graphical model with non-concave penalty. Stat. Comput. 35(4): 94 (2025) - [j6]Minjee Kim, Yujin Park, Kyongwon Kim, Jae Keun Yoo:
Nonlinear Functional Sufficient Dimension Reduction via Principal Fitted Components. Stat. Comput. 35(4): 95 (2025) - [j5]Yohee Han, Saeideh Esmaeili, Haesung Ahn, Yong Hoon Kim, Kyongwon Kim:
Vehicle-Specific Virtual Traffic Control Strategy to Reduce the Start-Up Delay for Autonomous Heavy Trucks. IEEE Trans. Intell. Veh. 10(10): 4758-4769 (2025) - 2024
- [j4]Bing Li, Kyongwon Kim:
On Sufficient Graphical Models. J. Mach. Learn. Res. 25: 17:1-17:64 (2024) - 2023
- [j3]Jun Song, Kyongwon Kim, Jae Keun Yoo:
On a nonlinear extension of the principal fitted component model. Comput. Stat. Data Anal. 182: 107707 (2023) - [i1]Bing Li, Kyongwon Kim:
On Sufficient Graphical Models. CoRR abs/2307.04353 (2023) - 2022
- [j2]Kyongwon Kim:
On principal graphical models with application to gene network. Comput. Stat. Data Anal. 166: 107344 (2022) - [j1]Yujin Park, Kyongwon Kim, Jae Keun Yoo:
On cross-distance selection algorithm for hybrid sufficient dimension reduction. Comput. Stat. Data Anal. 176: 107562 (2022)
Coauthor Index
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