Diagnostic In Spline Regression Model With Heteroscedasticity

In Suk Lee ,  Won Tae Jung ,  Hye Jeong Jeong

한국데이터정보과학회지

1995 .06

WHEN CAN SUPPORT VECTOR MACHINE ACHIEVE FAST RATES OF CONVERGENCE?

Pa ,  k ,  Chang-Yi

JKSS(Journal of the Korean Statistical Society)

2007 .01

SUPPORT VECTOR MACHINE USING K-MEANS CLUSTERING

Lee ,  S.J. ,  Pa 외 6명

JKSS(Journal of the Korean Statistical Society)

2007 .01

A study on robust regression estimators in heteroscedastic error models

Nayeong Son ,  Mijeong Kim

한국데이터정보과학회지

2017 .09

Variance Function Estimation using SVM and Jack-Knife Method

심주용 ,  조대현

Journal of The Korean Data Analysis Society

2011 .01

Geographically weighted least squares-support vector machine

Changha Hwang ,  Jooyong Shim

한국데이터정보과학회지

2017 .01

A Study on the Support Vector Machine Based Fuzzy Time Series Model

Kyung Ha Seok

한국데이터정보과학회지

2006 .09

Bootstrap Prediction Interval estimator of SVM

김대학

Journal of The Korean Data Analysis Society

2004 .01

REGRESSION WITH CENSORED DATA BY LEAST SQUARES SUPPORT VECTOR MACHINE

Kim ,  Dae-Hak ,  Shim 외 3명

JKSS(Journal of the Korean Statistical Society)

2004 .01

Asymmetric Least squares regression estimation using weighted Least squares support vector machine

Chang Ha Hwang

한국데이터정보과학회지

2011 .10

Prediction Intervals for LS-SVM Regression using the Bootstrap

Joo Young Shim ,  Chang Ha Hwang

한국데이터정보과학회지

2003 .06

PRELIMINARY DETECTION FOR ARCH-TYPE HETEROSCEDASTICITY IN A NONPARAMETRIC TIME SERIES REGRESSION MODEL

HWANG S. Y. ,  PARK CHEOLYONG ,  KIM TAE YOON 외 2명

JKSS(Journal of the Korean Statistical Society)

2005 .01

Statistical Forecasting of Fog Occurrence Using Support Vector Machines

Gyundo Kee ,  Yeonggyung Yeom ,  Kisong Ban

한국기상학회 학술대회 논문집

2006 .04

Expected shortfall estimation using kernel machines

Jooyong Shim ,  Changha Hwang

한국데이터정보과학회지

2013 .06

Support vector regression with the weighted absolute deviation error loss function

Kang-Mo Jung

한국데이터정보과학회지

2018 .11