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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