Jeongyoun Ahn, Ph.D. - Publications

Affiliations: 
2006 University of North Carolina, Chapel Hill, Chapel Hill, NC 
Area:
Statistics

29 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Han S, Kim M, Jung S, Ahn J. Sparse ordinal discriminant analysis. Biometrics. 80. PMID 38412301 DOI: 10.1093/biomtc/ujad040  0.316
2022 Lee S, Jung S, Lourenco J, Pringle D, Ahn J. Resampling-based inferences for compositional regression with application to beef cattle microbiomes. Statistical Methods in Medical Research. 9622802221133550. PMID 36267026 DOI: 10.1177/09622802221133550  0.33
2021 Poythress JC, Park C, Ahn J. 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. PMID 36324486 DOI: 10.1080/02664763.2021.1967892  0.367
2021 Ma Z, Ahn J. Feature-weighted Ordinal Classification for Predicting Drug Response in Multiple Myeloma. Bioinformatics (Oxford, England). PMID 33974007 DOI: 10.1093/bioinformatics/btab320  0.373
2020 Ahn J, Chung HC, Jeon Y. Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination Journal of Computational and Graphical Statistics. 1-29. DOI: 10.1080/10618600.2020.1807352  0.39
2020 Qiu D, Ahn J. Grouped variable screening for ultra-high dimensional data for linear model Computational Statistics & Data Analysis. 144: 106894. DOI: 10.1016/J.Csda.2019.106894  0.35
2019 Jung S, Ahn J, Jeon Y. Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem Journal of Computational and Graphical Statistics. 28: 710-721. DOI: 10.1080/10618600.2019.1568014  0.388
2019 Ahn J, Lee MH, Lee JA. Distance-based outlier detection for high dimension, low sample size data Journal of Applied Statistics. 46: 13-29. DOI: 10.1080/02664763.2018.1452901  0.409
2018 Safo SE, Ahn J, Jeon Y, Jung S. Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data. Biometrics. PMID 29750830 DOI: 10.1111/Biom.12886  0.453
2018 Jung S, Lee MH, Ahn J. On the number of principal components in high dimensions Biometrika. 105: 389-402. DOI: 10.1093/Biomet/Asy010  0.323
2016 Park J, Ahn J. Clustering multivariate functional data with phase variation. Biometrics. PMID 27218696 DOI: 10.1111/Biom.12546  0.329
2016 Safo SE, Ahn J. General sparse multi-class linear discriminant analysis Computational Statistics and Data Analysis. 99: 81-90. DOI: 10.1016/J.Csda.2016.01.011  0.46
2016 Kwon S, Ahn J, Jang W, Lee S, Kim Y. A doubly sparse approach for group variable selection Annals of the Institute of Statistical Mathematics. 1-29. DOI: 10.1007/S10463-016-0571-Z  0.399
2015 Jeon Y, Ahn J, Park C. A Nonparametric Kernel Approach to Interval-Valued Data Analysis Technometrics. 57: 566-575. DOI: 10.1080/00401706.2014.965346  0.424
2015 Ahn J, Jeon Y. Sparse HDLSS discrimination with constrained data piling Computational Statistics and Data Analysis. 90: 74-83. DOI: 10.1016/J.Csda.2015.04.006  0.525
2014 Lee JA, Dobbin KK, Ahn J. Covariance adjustment for batch effect in gene expression data. Statistics in Medicine. 33: 2681-95. PMID 24687561 DOI: 10.1002/Sim.6157  0.416
2013 Lee MH, Ahn J, Jeon Y. HDLSS discrimination with adaptive data piling Journal of Computational and Graphical Statistics. 22: 433-451. DOI: 10.1080/10618600.2012.681235  0.5
2012 Ahn J, Lee MH, Yoon YJ. Clustering High Dimension, Low Sample Size Data Using The Maximal Data Piling Distance Statistica Sinica. 22. DOI: 10.5705/Ss.2010.148  0.446
2012 Ahn J, Peng M, Park C, Jeon Y. A resampling approach for interval-valued data regression Statistical Analysis and Data Mining. 5: 336-348. DOI: 10.1002/Sam.11150  0.414
2011 Park C, Ahn J, Hendry M, Jang W. Analysis of Long Period Variable Stars With Nonparametric Tests for Trend Detection Journal of the American Statistical Association. 106: 832-845. DOI: 10.1198/Jasa.2011.Ap08689  0.331
2011 Ahn J, Lee MH. Discussion on “Two-Stage Procedures for High-Dimensional Data” by Makoto Aoshima and Kazuyoshi Yata Sequential Analysis. 30: 423-426. DOI: 10.1080/07474946.2011.619098  0.482
2011 Park ES, Spiegelman C, Ahn J. A nonparametric approach based on a Markov like property for classification Chemometrics and Intelligent Laboratory Systems. 108: 87-92. DOI: 10.1016/J.Chemolab.2011.06.004  0.392
2010 Park C, Lazar NA, Ahn J, Sornborger A. A multiscale analysis of the temporal characteristics of resting-state fMRI data. Journal of Neuroscience Methods. 193: 334-42. PMID 20832427 DOI: 10.1016/J.Jneumeth.2010.08.021  0.354
2010 Ahn J, Marron JS. The maximal data piling direction for discrimination Biometrika. 97: 254-259. DOI: 10.1093/Biomet/Asp084  0.575
2010 Ahn J. A stable hyperparameter selection for the Gaussian RBF kernel for discrimination Statistical Analysis and Data Mining. 3: 142-148. DOI: 10.1002/Sam.V3:3  0.487
2010 Ahn J. A stable hyperparameter selection for the Gaussian RBF kernel for discrimination Statistical Analysis and Data Mining. 3: 142-148. DOI: 10.1002/Sam.10073  0.468
2007 Ahn J, Marron JS, Muller KM, Chi YY. The high-dimension, low-sample-size geometric representation holds under mild conditions Biometrika. 94: 760-766. DOI: 10.1093/Biomet/Asm050  0.555
2007 Liu Y, Zhang HH, Park C, Ahn J. Support vector machines with adaptive Lq penalty Computational Statistics & Data Analysis. 51: 6380-6394. DOI: 10.1016/J.Csda.2007.02.006  0.347
2006 Zhang HH, Ahn J, Lin X, Park C. Gene selection using support vector machines with non-convex penalty. Bioinformatics (Oxford, England). 22: 88-95. PMID 16249260 DOI: 10.1093/Bioinformatics/Bti736  0.385
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