Jooyong Shim

According to our database, Jooyong Shim authored at least 19 papers between 2003 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2017

Kernel-based orthogonal quantile regression model.

Jooyong Shim, Changha Hwang

Model. Assist. Stat. Appl., 2017

Kernel-based random effect time-varying coefficient model for longitudinal data.

Jooyong Shim, Insuk Sohn, Changha Hwang

Neurocomputing, 2017

2016

Support vector quantile regression with varying coefficients.

Jooyong Shim, Changha Hwang, Kyung Ha Seok

Comput. Stat., 2016

2015

Varying coefficient modeling via least squares support vector regression.

Jooyong Shim, Changha Hwang

Neurocomputing, 2015

2014

Estimating small area mean with mixed and fixed effects support vector median regressions.

Jooyong Shim, Changha Hwang

Neurocomputing, 2014

Semiparametric spatial effects kernel minimum squared error model for predicting housing sales prices.

Jooyong Shim, Okmyung Bin, Changha Hwang

Neurocomputing, 2014

Composite support vector quantile regression estimation.

Jooyong Shim, Changha Hwang, Kyung Ha Seok

Comput. Stat., 2014

2012

Estimating value at risk with semiparametric support vector quantile regression.

Jooyong Shim, Yongtae Kim, Jangtaek Lee, Changha Hwang

Comput. Stat., 2012

2011

Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data.

Kyung Ha Seok, Jooyong Shim, Daehyeon Cho, Gyu-Jeong Noh, Changha Hwang

Neurocomputing, 2011

2009

Non-crossing quantile regression via doubly penalized kernel machine.

Jooyong Shim, Changha Hwang, Kyung Ha Seok

Comput. Stat., 2009

Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria.

Insuk Sohn, Jooyong Shim, Changha Hwang, Sujong Kim, Jae Won Lee

Comput. Stat. Data Anal., 2009

Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine.

Jooyong Shim, Insuk Sohn, Sujong Kim, Jae Won Lee, Paul E. Green, Changha Hwang

Comput. Stat. Data Anal., 2009

Support vector censored quantile regression under random censoring.

Jooyong Shim, Changha Hwang

Comput. Stat. Data Anal., 2009

2006

Robust LS-SVM Regression Using Fuzzy C-Means Clustering.

Jooyong Shim, Changha Hwang, Sungkyun Nau

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Locally Weighted LS-SVM for Fuzzy Nonlinear Regression with Fuzzy Input-Output.

Dug Hun Hong, Changha Hwang, Jooyong Shim, Kyung Ha Seok

Proceedings of the Computational Intelligence and Security, International Conference, 2006

2005

Doubly Regularized Kernel Regression with Heteroscedastic Censored Data.

Jooyong Shim, Changha Hwang

Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Simple Quantile Regression via Support Vector Machine.

Changha Hwang, Jooyong Shim

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Interval Regression Analysis Using Support Vector Machine and Quantile Regression.

Changha Hwang, Dug Hun Hong, Eunyoung Na, Hyejung Park, Jooyong Shim

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2003

Incremental Feature Extraction Based on Empirical Kernel Map.

Byung-Joo Kim, Jooyong Shim, Changha Hwang, Il Kon Kim, Joon Hyun Song

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003