Jeongyoun Ahn, Ph.D.
Affiliations: | 2006 | University of North Carolina, Chapel Hill, Chapel Hill, NC |
Area:
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"Jeongyoun Ahn"Parents
Sign in to add mentor| James S. Marron | grad student | 2006 | UNC Chapel Hill | |
| (High dimension, low sample size data analysis.) | ||||
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Publications
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| Lee S, Jung S, Lourenco J, et al. (2022) Resampling-based inferences for compositional regression with application to beef cattle microbiomes. Statistical Methods in Medical Research. 9622802221133550 |
| Poythress JC, Park C, Ahn J. (2021) Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association. Journal of Applied Statistics. 49: 3889-3907 |
| Ma Z, Ahn J. (2021) Feature-weighted Ordinal Classification for Predicting Drug Response in Multiple Myeloma. Bioinformatics (Oxford, England) |
| Ahn J, Chung HC, Jeon Y. (2020) Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination Journal of Computational and Graphical Statistics. 1-29 |
| Qiu D, Ahn J. (2020) Grouped variable screening for ultra-high dimensional data for linear model Computational Statistics & Data Analysis. 144: 106894 |
| Jung S, Ahn J, Jeon Y. (2019) Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem Journal of Computational and Graphical Statistics. 28: 710-721 |
| Ahn J, Lee MH, Lee JA. (2019) Distance-based outlier detection for high dimension, low sample size data Journal of Applied Statistics. 46: 13-29 |
| Safo SE, Ahn J, Jeon Y, et al. (2018) Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data. Biometrics |
| Jung S, Lee MH, Ahn J. (2018) On the number of principal components in high dimensions Biometrika. 105: 389-402 |
| Park J, Ahn J. (2016) Clustering multivariate functional data with phase variation. Biometrics |