Jae Keun Yoo

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Valid asymptotic inference after sufficient dimension reduction in a single-index framework.
Stat. Comput.
Kyongwon Kim, Jun Song, Jae Keun Yoo
2025 J jnl
Nonlinear Functional Sufficient Dimension Reduction via Principal Fitted Components.
Stat. Comput.
Minjee Kim, Yujin Park, Kyongwon Kim, Jae Keun Yoo
2025 J jnl
On sufficient dimension reduction methods based on a graphical model with non-concave penalty.
Stat. Comput.
Yujin Park, Kyongwon Kim, Jae Keun Yoo
2023 J jnl
On a nonlinear extension of the principal fitted component model.
Comput. Stat. Data Anal.
Jun Song, Kyongwon Kim, Jae Keun Yoo
2022 J jnl
On cross-distance selection algorithm for hybrid sufficient dimension reduction.
Comput. Stat. Data Anal.
Yujin Park, Kyongwon Kim, Jae Keun Yoo
2021 J jnl
SEEDCCA: An Integrated R-Package for Canonical Correlation Analysis and Partial Least Squares.
R J.
Boyoung Kim, Yunju Im, Jae Keun Yoo
2018 J jnl
Basis-Adaptive Selection Algorithm in dr-package.
R J.
Jae Keun Yoo
2018 J jnl
Do we need the constant term in the heterogenous autoregressive model for forecasting realized volatilities?
Commun. Stat. Simul. Comput.
Hyejin Song, Dong Wan Shin, Jae Keun Yoo
2017 J jnl
Dimension test approach of heteroscedasticity in the linear model.
Commun. Stat. Simul. Comput.
Keunbaik Lee, Hyejin Song, Jae Keun Yoo
2014 J jnl
Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models.
Comput. Stat. Data Anal.
Keunbaik Lee, Jae Keun Yoo
2013 J jnl
Advances in seeded dimension reduction: Bootstrap criteria and extensions.
Comput. Stat. Data Anal.
Jae Keun Yoo
2012 J jnl
Modeling the random effects covariance matrix for generalized linear mixed models.
Comput. Stat. Data Anal.
Keunbaik Lee, Jung Bok Lee, Joseph Hagan, Jae Keun Yoo
2010 J jnl
On the extension of sliced average variance estimation to multivariate regression.
Stat. Methods Appl.
Jae Keun Yoo, Keunbaik Lee, Seongho Wu
2008 J jnl
A novel moment-based sufficient dimension reduction approach in multivariate regression.
Comput. Stat. Data Anal.
Jae Keun Yoo
2008 J jnl
Response dimension reduction for the conditional mean in multivariate regression.
Comput. Stat. Data Anal.
Jae Keun Yoo, R. Dennis Cook