Ja-Yong Koo

发表

Oracle properties of SCAD-penalized support vector machine

Changyi Park, Kwang-Rae Kim, Ra-Yeon Myung, 2012 .

Structured multicategory support vector machines with analysis of variance decomposition

Yoonkyung Lee, Ja-Yong Koo, Yuwon Kim, 2006 .

Log-density estimation in linear inverse problems

Ja-Yong Koo, Ja-Yong Koo, Han-Yeong Chung, 1998 .

Möbius deconvolution on the hyperbolic plane with application to impedance density estimation

A. Munk, P. Kim, S. Huckemann, 2010, 1010.4202.

A classification spline machine for building a credit scorecard

M. Jhun, Changyi Park, Ja-Yong Koo, 2009 .

Spatially adaptive binary classifier using B-splines and total variation penalty

Ja-Yong Koo, Kwan-Young Bak, Jae-Hwan Jhong, 2019, Journal of Nonparametric Statistics.

On spline estimators and prediction intervals in nonparametric regression

K. Doksum, Ja-Yong Koo, J. Koo, 2000 .

Supersmooth testing on the sphere over analytic classes

P. Kim, Ja-Yong Koo, Thanh Mai Pham Ngoc, 2016 .

Penalized B-spline estimator for regression functions using total variation penalty

Seong-Whan Lee, Ja-Yong Koo, Seong-Whan Lee, 2017 .

Spline Estimation of Discontinuous Regression Functions

Ja-Yong Koo, Ja-Yong Koo, J. Koo, 1997 .

Boosting Diracs for Electrophoresis

H. Cardot, A. Trubuil, Ja-Yong Koo, 2004 .

Directional mixture models and optimal estimation of the mixing density

Peter T. Kim, Ja-Yong Koo, P. Kim, 2000 .

Nonparametric matrix regression function estimation over symmetric positive definite matrices

Changyi Park, Hongtu Zhu, P. Kim, 2020, Journal of the Korean Statistical Society.

Adaptive log-density estimation

Ja-Yong Koo, Kwan-Young Bak, 2020 .

MINIMAX ESTIMATION FOR MIXTURES OF

L. R. Haff, P. Kim, Ja-Yong Koo, 2016 .

Gene Selection Based on Support Vector Machine using Bootstrap

Changyi Park, Ja-Yong Koo, S. Song, 2007 .

Deconvolution on the Euclidean motion group

P. Kim, Z. Luo, Ja-Yong Koo, 2011 .

Sharp adaptation for spherical inverse problems with applications to medical imaging

P. Kim, Ja-Yong Koo, 2008 .

Logspline density estimation for binned data

C. Kooperberg, Ja-Yong Koo, 2000 .

An empirical threshold of selection probability for analysis of high-dimensional correlated data

Ja-Yong Koo, Hokeun Sun, Kipoong Kim, 2020, Journal of Statistical Computation and Simulation.