Jooyong Shim

Publication Activity (10 Years)

Years Active: 2003-2017
Publications (10 Years): 4

Top Topics

Cross Validated

Quantile Regression

Classification Accuracy

Top Venues

Model. Assist. Stat. Appl.

Publications

Jooyong Shim, Changha Hwang
Kernel-based orthogonal quantile regression model. Model. Assist. Stat. Appl. 12 (3) (2017)
Jooyong Shim, Insuk Sohn, Changha Hwang
Kernel-based random effect time-varying coefficient model for longitudinal data. Neurocomputing 267 (2017)
Jooyong Shim, Changha Hwang, Kyung Ha Seok
Support vector quantile regression with varying coefficients. Comput. Stat. 31 (3) (2016)
Jooyong Shim, Changha Hwang
Varying coefficient modeling via least squares support vector regression. Neurocomputing 161 (2015)
Jooyong Shim, Okmyung Bin, Changha Hwang
Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices. Neurocomputing 124 (2014)
Jooyong Shim, Changha Hwang
Estimating small area mean with mixed and fixed effects support vector median regressions. Neurocomputing 145 (2014)
Jooyong Shim, Changha Hwang, Kyung Ha Seok
Composite support vector quantile regression estimation. Comput. Stat. 29 (6) (2014)
Jooyong Shim, Yongtae Kim, Jangtaek Lee, Changha Hwang
Estimating value at risk with semiparametric support vector quantile regression. Comput. Stat. 27 (4) (2012)
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) (2011)
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) (2009)
Jooyong Shim, Changha Hwang
Support vector censored quantile regression under random censoring. Comput. Stat. Data Anal. 53 (4) (2009)
Jooyong Shim, Changha Hwang, Kyung Ha Seok
Non-crossing quantile regression via doubly penalized kernel machine. Comput. Stat. 24 (1) (2009)
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) (2009)
Dug Hun Hong, Changha Hwang, Jooyong Shim, Kyung Ha Seok
Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output. CIS (2006)
Jooyong Shim, Changha Hwang, Sungkyun Nau
Robust LS-SVM Regression Using Fuzzy C-Means Clustering. ICNC (1) (2006)
Changha Hwang, Jooyong Shim
A Simple Quantile Regression via Support Vector Machine. ICNC (1) (2005)
Jooyong Shim, Changha Hwang
Doubly Regularized Kernel Regression with Heteroscedastic Censored Data. ICNC (1) (2005)
Changha Hwang, Dug Hun Hong, Eunyoung Na, Hyejung Park, Jooyong Shim
Interval Regression Analysis Using Support Vector Machine and Quantile Regression. FSKD (1) (2005)
Byung-Joo Kim, Jooyong Shim, Changha Hwang, Il Kon Kim, Joon Hyun Song
Incremental Feature Extraction Based on Empirical Kernel Map. ISMIS (2003)