Ja-Yong Koo

发表

Penalized logspline density estimation using total variation penalty

Jae-Hwan Jhong, Kwan-Young Bak, JungJun Lee, 2021, Comput. Stat. Data Anal..

Erratum to "Inverse boosting for monotone regression functions" [Computational Statistics and Data Analysis 49 (2005) 757-770]

Ja-Yong Koo, Yuwon Kim, 2006, Comput. Stat. Data Anal..

Feature selection in the Laplacian support vector machine

Sangjun Lee, Changyi Park, Ja-Yong Koo, 2011, Comput. Stat. Data Anal..

Variable Selection for Naive Bayes Semisupervised Learning

Ja-Yong Koo, Byoung-Jeong Choi, Kwang-Rae Kim, 2014, Commun. Stat. Simul. Comput..

Inverse boosting for monotone regression functions

Ja-Yong Koo, Yuwon Kim, 2005, Comput. Stat. Data Anal..

Penalized I-spline monotone regression estimation

Junsouk Choi, Jae-Hwan Jhong, Ja-Yong Koo, 2021, Commun. Stat. Simul. Comput..

Stable activation-based regression with localizing property

Jae-Hwan Jhong, Ja-Yong Koo, Jae-Kyung Shin, 2021, Communications for Statistical Applications and Methods.

Additive regression splines with total variation and non negative garrote penalties

Jae-Hwan Jhong, Kwan-Young Bak, Ja-Yong Koo, 2021, Communications in Statistics - Theory and Methods.

Convergence Rates for Logspline Tomography

Ja-Yong Koo, J. Koo, 1998 .

Geodesic Clustering for Covariance Matrices

Peter T. Kim, Kwang-Rae Kim, Ja-Yong Koo, 2015 .

Optimal Rates of Convergence for Nonparametric Statistical Inverse Problems

Ja-Yong Koo, J. Koo, 1993 .

Kernel estimation of discontinuous regression functions

Cheolwoo Park, Kee-Hoon Kang, Ja-Yong Koo, 2000 .

Optimal Spherical Deconvolution

Peter T. Kim, Ja-Yong Koo, P. Kim, 2002 .

Statistical Inverse Problems on Manifolds

Peter T. Kim, Ja-Yong Koo, P. Kim, 2005 .

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 .

Sharp minimaxity and spherical deconvolution for super-smooth error distributions

Peter T. Kim, Ja-Yong Koo, P. Kim, 2004 .

B-spline deconvolution based on the EM algorithm

Ja-Yong Koo, Byeong U. Park, B. Park, 1996 .

Directional mixture models and optimal estimation of the mixing density

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

Logspline Deconvolution in Besov Space

Ja-Yong Koo, 1999 .

Identifying novel NF-kB-regulated immune genes in the human genome using a Discrete Kernel Structured Support Vector Machine

Insuk Sohn, Sujong Kim, Jae Won Lee, 2017, Model Assisted Statistics and Applications.

A note on bootstrap model selection criterion

Ja-Yong Koo, Han-Yeong Chung, Han-Yeong Chung, 1996 .

Logspline Density Estimation under Censoring and Truncation

Ja-Yong Koo, Charles Kooperberg, Jinho Park, 1999 .

Log-density estimation in linear inverse problems

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