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Journal Articles
- 2017
[j13]Jooyong Shim, Insuk Sohn, Changha Hwang:
Kernel-based random effect time-varying coefficient model for longitudinal data. Neurocomputing 267: 500-507 (2017)- [j12]Jooyong Shim, Changha Hwang:
Kernel-based orthogonal quantile regression model. Model. Assist. Stat. Appl. 12(3): 217-226 (2017) - 2016
- [j11]Jooyong Shim, Changha Hwang, Kyung Ha Seok:
Support vector quantile regression with varying coefficients. Comput. Stat. 31(3): 1015-1030 (2016) - 2015
- [j10]Jooyong Shim, Changha Hwang:
Varying coefficient modeling via least squares support vector regression. Neurocomputing 161: 254-259 (2015) - 2014
- [j9]Jooyong Shim, Changha Hwang, Kyung Ha Seok:
Composite support vector quantile regression estimation. Comput. Stat. 29(6): 1651-1665 (2014) - [j8]Jooyong Shim, Okmyung Bin, Changha Hwang:
Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices. Neurocomputing 124: 81-88 (2014) - [j7]Jooyong Shim, Changha Hwang:
Estimating small area mean with mixed and fixed effects support vector median regressions. Neurocomputing 145: 174-181 (2014) - 2012
- [j6]Jooyong Shim, Yongtae Kim, Jangtaek Lee, Changha Hwang:
Estimating value at risk with semiparametric support vector quantile regression. Comput. Stat. 27(4): 685-700 (2012) - 2011
- [j5]Kyung Ha Seok, Jooyong Shim, Daehyeon Cho, Gyu-Jeong Noh, Changha Hwang:
Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data. Neurocomputing 74(17): 3412-3419 (2011) - 2009
- [j4]Jooyong Shim, Changha Hwang:
Support vector censored quantile regression under random censoring. Comput. Stat. Data Anal. 53(4): 912-919 (2009) - [j3]Insuk Sohn, Jooyong Shim, Changha Hwang, Sujong Kim, Jae Won Lee:
Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria. Comput. Stat. Data Anal. 53(5): 1727-1735 (2009) - [j2]Jooyong Shim, Insuk Sohn, Sujong Kim, Jae Won Lee, Paul E. Green, Changha Hwang:
Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine. Comput. Stat. Data Anal. 53(5): 1736-1742 (2009) - [j1]Jooyong Shim, Changha Hwang, Kyung Ha Seok:
Non-crossing quantile regression via doubly penalized kernel machine. Comput. Stat. 24(1): 83-94 (2009)
Conference and Workshop Papers
- 2006
- [c6]Dug Hun Hong, Changha Hwang, Jooyong Shim, Kyung Ha Seok:
Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output. CIS 2006: 317-325 - [c5]Jooyong Shim, Changha Hwang, Sungkyun Nau:
Robust LS-SVM Regression Using Fuzzy C-Means Clustering. ICNC (1) 2006: 157-166 - 2005
- [c4]Changha Hwang, Dug Hun Hong, Eunyoung Na, Hyejung Park, Jooyong Shim:
Interval Regression Analysis Using Support Vector Machine and Quantile Regression. FSKD (1) 2005: 100-109 - [c3]Changha Hwang, Jooyong Shim:
A Simple Quantile Regression via Support Vector Machine. ICNC (1) 2005: 512-520 - [c2]Jooyong Shim, Changha Hwang:
Doubly Regularized Kernel Regression with Heteroscedastic Censored Data. ICNC (1) 2005: 521-527 - 2003
- [c1]Byung-Joo Kim, Jooyong Shim, Changha Hwang, Il Kon Kim, Joon Hyun Song:
Incremental Feature Extraction Based on Empirical Kernel Map. ISMIS 2003: 440-444
Coauthor Index
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