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Showing results 1 to 13 of 13

1
A multiscale analysis of the temporal characteristics of resting-state fMRI data

Park, Cheolwoo; Lazar, Nicole A.; Ahn, Jeongyoun; Sornborger, Andrew, JOURNAL OF NEUROSCIENCE METHODS, v.193, no.2, pp.334 - 342, 2010-11

2
A Nonparametric Kernel Approach to Interval-Valued Data Analysis

Jeon, Yongho; Ahn, Jeongyoun; Park, Cheolwoo, TECHNOMETRICS, v.57, no.4, pp.566 - 575, 2015-10

3
A resampling approach for interval-valued data regression

Ahn, Jeongyoun; Peng, M; Park, Cheolwoo; Jeon, Y, STATISTICAL ANALYSIS AND DATA MINING, v.5, no.4, pp.336 - 348, 2012-08

4
An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model

Kaiser, Erin E.; Poythress, J. C.; Scheulin, Kelly M.; Jurgielewicz, Brian J.; Lazar, Nicole A.; Park, Cheolwoo; Stice, Steven L.; et al, NEURAL REGENERATION RESEARCH, v.16, no.5, pp.842 - 850, 2021-05

5
Analysis of Long Period Variable Stars With Nonparametric Tests for Trend Detection

Park, Cheolwoo; Ahn, Jeongyoun; Hendry, Martin; Jang, Woncheol, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, v.106, no.495, pp.832 - 845, 2011-09

6
Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyses of association

Poythress, JC; Park, Cheolwoo; Ahn, Jeongyoun, JOURNAL OF APPLIED STATISTICS, v.49, no.15, pp.3889 - 3907, 2022-12

7
Gene selection using support vector machines with non-convex penalty

Zhang, HH; Ahn, Jeongyoun; Lin, X; Park, Cheolwoo, BIOINFORMATICS, v.22, no.1, pp.88 - 95, 2006-01

8
Kernel Methods for Radial Transformed Compositional Data with Many Zeros

Park, Junyoung; Yoon, Changwon; Park, Cheolwoo; Ahn, Jeongyoun, The 39th International Conference on Machine Learning, ICML 2022, pp.17458 - 17472, International Conference on Machine Learning, 2022-07-21

9
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation

Park, Jun Young; Ahn, Jeongyoun; Park, Cheolwoo, 40th International Conference on Machine Learning, ICML 2023, pp.27034 - 27047, ML Research Press, 2023-07-27

10
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation

Park, Jun Young; Ahn, Jeongyoun; Park, Cheolwoo, 40th International Conference on Machine Learning, ICML 2023, pp.27034 - 27047, ML Research Press, 2023-07-27

11
Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data

Poythress, JC; Ahn, Jeongyoun; Park, Cheolwoo, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.31, no.1, pp.190 - 203, 2022-03

12
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy

Lee, Bonwoo; Ahn, Jeongyoun; Park, Cheolwoo, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, Neural information processing systems foundation, 2023-12-13

13
Support vector machines with adaptive L-q penalty

Liu, Yufeng; Zhang, Hao Helen; Park, Cheolwoo; Ahn, Jeongyoun, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.51, no.12, pp.6380 - 6394, 2007-08

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