J. Koo

发表

Penalized polygram regression

Kwan-Young Bak, Jae-Hwan Jhong, J. Koo, 2022, Journal of the Korean Statistical Society.

Visualization of Bottleneck Distances for Persistence Diagram

Kwang-Rae Kim, Eunjee Lee, J. Koo, 2012 .

Sparse neural network regression with variable selection

Kwan-Young Bak, J. Koo, Jae-Kyung Shin, 2022, Comput. Intell..

Minimax estimation in multi-task regression under low-rank structures

Kwan-Young Bak, J. Koo, 2022, Journal of Nonparametric Statistics.

Geodesic Clustering for Covariance Matrices

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

Boosting Diracs for Electrophoresis

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

Penalized log-density estimation using Legendre polynomials

Young-Rae Cho, Jae-Hwan Jhong, Ja-Yong Koo, 2018, Commun. Stat. Simul. Comput..

Directional mixture models and optimal estimation of the mixing density

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

MINIMAX ESTIMATION FOR MIXTURES OF

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

Minimax estimation for mixtures of Wishart distributions

L. R. Haff, P. Kim, D. Richards, 2011, 1203.3342.

Meta-analytic support vector machine for integrating multiple omics data

Sunghwan Kim, Jae-Hwan Jhong, J. Koo, 2017, BioData Mining.

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.

Structured multicategory support vector machines with analysis of variance decomposition

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

Structured polychotomous machine diagnosis of multiple cancer types using gene expression

Insuk Sohn, Sujong Kim, Jae Won Lee, 2006, Bioinform..

The Intrinsic Distribution and Selection Bias of Long-Period Cometary Orbits

P. Jupp, P. Kim, P. Wiegert, 2003 .

Stable activation-based regression with localizing property

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

Erratum to: Meta-analytic support vector machine for integrating multiple omics data

Jae-Hwan Jhong, Ja-Yong Koo, Jung-Jun Lee, 2017, BioData Min..

Stepwise feature selection using generalized logistic loss

Jae Won Lee, Changyi Park, Ja-Yong Koo, 2008, Comput. Stat. Data Anal..

Erratum to: Meta-analytic support vector machine for integrating multiple omics data

Jae-Hwan Jhong, Ja-Yong Koo, Jung-Jun Lee, 2017, BioData Mining.

Simultaneous estimation of quantile regression functions using B-splines and total variation penalty

Jae-Hwan Jhong, Ja-Yong Koo, Jae-Hwan Jhong, 2019, Comput. Stat. Data Anal..

Asymptotic Minimax Bounds for Stochastic Deconvolution Over Groups

Ja-Yong Koo, Peter T. Kim, P. Kim, 2008, IEEE Transactions on Information Theory.

Statistical Inverse Problems on Manifolds

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

Optimal Spherical Deconvolution

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

Log-density estimation in linear inverse problems

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

Optimal Rates of Convergence for Nonparametric Statistical Inverse Problems

Ja-Yong Koo, J. Koo, 1993 .

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.

Frenet-Serret and the Estimation of Curvature and Torsion

Ja-Yong Koo, Peter T. Kim, Kwang-Rae Kim, 2013, IEEE Journal of Selected Topics in Signal Processing.

Kernel estimation of discontinuous regression functions

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

B-spline estimation of regression functions with errors in variable

J. Koo, Kee-Won Lee, 1998 .

Spline Estimation of Discontinuous Regression Functions

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

Nonparametric matrix regression function estimation over symmetric positive definite matrices

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

Bivariate B-splines for tensor logspline density estimation

J. Koo, 1996 .

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

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

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

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

A note on bootstrap model selection criterion

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

Sharp minimaxity and spherical deconvolution for super-smooth error distributions

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

On spline estimators and prediction intervals in nonparametric regression

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

On the Use of Adaptive Nearest Neighbors for Missing Value Imputation

Ja-Yong Koo, Hyeong Chul Jeong, Myoungshic Jhun, 2007, Commun. Stat. Simul. Comput..

Wavelet deconvolution

Ja-Yong Koo, Jianqing Fan, Jianqing Fan, 2002, IEEE Trans. Inf. Theory.

Node-Structured Integrative Gaussian Graphical Model Guided by Pathway Information

Jae-Hwan Jhong, Ja-Yong Koo, Sungwon Han, 2017, Comput. Math. Methods Medicine.

Deconvolution on the Euclidean motion group

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

Poisson intensity estimation for tomographic data using a wavelet shrinkage approach

Ja-Yong Koo, L. Cavalier, L. Cavalier, 2002, IEEE Trans. Inf. Theory.

Image Reconstruction using the Wavelet Transform for Positron Emission Tomography

Yong Choi, Nam-Yong Lee, Ja-Yong Koo, 2001, IEEE Trans. Medical Imaging.

Penalized logspline density estimation using total variation penalty

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

Weyl eigenvalue asymptotics and sharp adaptation on vector bundles

Ja-Yong Koo, Peter T. Kim, Zhi-Ming Luo, 2009, J. Multivar. Anal..

Feature selection in the Laplacian support vector machine

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

Rotational Matching Problems

Gregory S. Chirikjian, Ja-Yong Koo, Peter T. Kim, 2004, Int. J. Comput. Intell. Appl..

Support Vector Machine Using k-Spatial Medians Clustering and Recovery Process

Sungwan Bang, Ja-Yong Koo, Myoungshic Jhun, 2010, Commun. Stat. Simul. Comput..

A Bahadur Representation of the Linear Support Vector Machine

Changyi Park, Ja-Yong Koo, Yoonkyung Lee, 2008, J. Mach. Learn. Res..

Structured kernel quantile regression

Changyi Park, Kwang-Rae Kim, J. Koo, 2013 .

Bivariate B-splines in generalised linear models

Youngjo Lee, J. Koo, 1994 .

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.

Oracle properties of SCAD-penalized support vector machine

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

Logspline density estimation for binned data

C. Kooperberg, J. Koo, 2000 .

B-spline deconvolution based on the EM algorithm

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

Convergence Rates for Logspline Tomography

Ja-Yong Koo, J. Koo, 1998 .

Fused least absolute shrinkage and selection operator for credit scoring

Changyi Park, Hosik Choi, J. Koo, 2014, Journal of Statistical Computation and Simulation.

Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization

Kwan-Young Bak, J. Koo, Jae-Kyung Shin, 2022, Journal of applied statistics.

Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data

Jae-Hwan Jhong, Ja-Yong Koo, Jung-Jun Lee, 2018, Comput. Math. Methods Medicine.

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.

Meta-analytic support vector machine for integrating multiple omics data

Sunghwan Kim, Jae-Hwan Jhong, J. Koo, 2017, BioData Mining.