Ja-Yong Koo

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 13

Top Topics

Variable Selection

Density Estimation

Integrating Multiple

Joint Estimation

Top Venues

Commun. Stat. Simul. Comput.

Comput. Math. Methods Medicine

Comput. Stat. Data Anal.

Publications

Jae-Hwan Jhong, Jae-Young Kim, Jae-Deok Lee, Ja-Yong Koo
Locally penalized single-index model using B-splines and spherical coordinates. Commun. Stat. Simul. Comput. 53 (1) (2024)
Kwan-Young Bak, Ja-Yong Koo
Minimax Density Estimation Under Radial Symmetry. IEEE Access 11 (2023)
Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo
Penalized additive neural network regression. Intell. Data Anal. 26 (6) (2022)
Jae-Kyung Shin, Kwan-Young Bak, Ja-Yong Koo
Sparse neural network regression with variable selection. Comput. Intell. 38 (6) (2022)
Junsouk Choi, Jungjun Lee, Jae-Hwan Jhong, Ja-Yong Koo
Penalized I-spline monotone regression estimation. Commun. Stat. Simul. Comput. 50 (11) (2021)
Kwan-Young Bak, Jae-Hwan Jhong, Jung-Jun Lee, Jae-Kyung Shin, Ja-Yong Koo
Penalized logspline density estimation using total variation penalty. Comput. Stat. Data Anal. 153 (2021)
Jung-Jun Lee, Jae-Hwan Jhong, Young-Rae Cho, Sunghwan Kim, Ja-Yong Koo
Penalized log-density estimation using Legendre polynomials. Commun. Stat. Simul. Comput. 49 (11) (2020)
Jae-Hwan Jhong, Ja-Yong Koo
Simultaneous estimation of quantile regression functions using B-splines and total variation penalty. Comput. Stat. Data Anal. 133 (2019)
Jung-Jun Lee, Sunghwan Kim, Jae-Hwan Jhong, Ja-Yong Koo
Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data. Comput. Math. Methods Medicine 2018 (2018)
Insuk Sohn, Sujong Kim, Jae Won Lee, Ja-Yong Koo, Junsu Ko
Identifying novel NF-kB-regulated immune genes in the human genome using a Discrete Kernel Structured Support Vector Machine. Model. Assist. Stat. Appl. 12 (3) (2017)
Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo
Meta-analytic support vector machine for integrating multiple omics data. BioData Min. 10 (1) (2017)
Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo
Erratum to: Meta-analytic support vector machine for integrating multiple omics data. BioData Min. 10 (1) (2017)
Sunghwan Kim, Jae-Hwan Jhong, Jung-Jun Lee, Ja-Yong Koo, ByungYong Lee, Sungwon Han
Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information. Comput. Math. Methods Medicine 2017 (2017)
Byoung-Jeong Choi, Kwang-Rae Kim, Kyu-Dong Cho, Changyi Park, Ja-Yong Koo
Variable Selection for Naive Bayes Semisupervised Learning. Commun. Stat. Simul. Comput. 43 (10) (2014)
Kwang-Rae Kim, Peter T. Kim, Ja-Yong Koo, Michael R. Pierrynowski
Frenet-Serret and the Estimation of Curvature and Torsion. IEEE J. Sel. Top. Signal Process. 7 (4) (2013)
Sangjun Lee, Changyi Park, Ja-Yong Koo
Feature selection in the Laplacian support vector machine. Comput. Stat. Data Anal. 55 (1) (2011)
Sungwan Bang, Ja-Yong Koo, Myoungshic Jhun
-Spatial Medians Clustering and Recovery Process. Commun. Stat. Simul. Comput. 39 (7) (2010)
Peter T. Kim, Ja-Yong Koo, Zhi-Ming Luo
Weyl eigenvalue asymptotics and sharp adaptation on vector bundles. J. Multivar. Anal. 100 (9) (2009)
Changyi Park, Ja-Yong Koo, Peter T. Kim, Jae Won Lee
Stepwise feature selection using generalized logistic loss. Comput. Stat. Data Anal. 52 (7) (2008)
Ja-Yong Koo, Peter T. Kim
Asymptotic Minimax Bounds for Stochastic Deconvolution Over Groups. IEEE Trans. Inf. Theory 54 (1) (2008)
Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim, Changyi Park
A Bahadur Representation of the Linear Support Vector Machine. J. Mach. Learn. Res. 9 (2008)
Changyi Park, Ja-Yong Koo, Sujong Kim, Insuk Sohn, Jae Won Lee
Classification of gene functions using support vector machine for time-course gene expression data. Comput. Stat. Data Anal. 52 (5) (2008)
Myoungshic Jhun, Hyeong Chul Jeong, Ja-Yong Koo
On the Use of Adaptive Nearest Neighbors for Missing Value Imputation. Commun. Stat. Simul. Comput. 36 (6) (2007)
Yuwon Kim, Ja-Yong Koo
Erratum to "Inverse boosting for monotone regression functions" [Computational Statistics and Data Analysis 49 (2005) 757-770]. Comput. Stat. Data Anal. 50 (2) (2006)
Ja-Yong Koo, Insuk Sohn, Sujong Kim, Jae Won Lee
Structured polychotomous machine diagnosis of multiple cancer types using gene expression. Bioinform. 22 (8) (2006)
Yuwon Kim, Ja-Yong Koo
Inverse boosting for monotone regression functions. Comput. Stat. Data Anal. 49 (3) (2005)
Gregory S. Chirikjian, Peter T. Kim, Ja-Yong Koo, Christine H. Lee
Rotational Matching Problems. Int. J. Comput. Intell. Appl. 4 (4) (2004)
L. Cavalier, Ja-Yong Koo
Poisson intensity estimation for tomographic data using a wavelet shrinkage approach. IEEE Trans. Inf. Theory 48 (10) (2002)
Jianqing Fan, Ja-Yong Koo
Wavelet deconvolution. IEEE Trans. Inf. Theory 48 (3) (2002)
Yong Choi, Ja-Yong Koo, Nam-Yong Lee
Image Reconstruction using the Wavelet Transform for Positron Emission Tomography. IEEE Trans. Medical Imaging 20 (11) (2001)