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2020 – today
- 2023
[j11]Jun Song
, Kyongwon Kim, Jae Keun Yoo:
On a nonlinear extension of the principal fitted component model. Comput. Stat. Data Anal. 182: 107707 (2023)- 2022
- [j10]Yujin Park, Kyongwon Kim, Jae Keun Yoo:
On cross-distance selection algorithm for hybrid sufficient dimension reduction. Comput. Stat. Data Anal. 176: 107562 (2022)
2010 – 2019
- 2018
- [j9]Hyejin Song, Dong Wan Shin, Jae Keun Yoo:
Do we need the constant term in the heterogenous autoregressive model for forecasting realized volatilities? Commun. Stat. Simul. Comput. 47(1): 63-73 (2018) - [j8]Jae Keun Yoo:
Basis-Adaptive Selection Algorithm in dr-package. R J. 10(2): 124 (2018) - 2017
- [j7]Keunbaik Lee, Hyejin Song, Jae Keun Yoo:
Dimension test approach of heteroscedasticity in the linear model. Commun. Stat. Simul. Comput. 46(6): 4356-4366 (2017) - 2014
- [j6]Keunbaik Lee, Jae Keun Yoo:
Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models. Comput. Stat. Data Anal. 80: 111-116 (2014) - 2013
- [j5]Jae Keun Yoo:
Advances in seeded dimension reduction: Bootstrap criteria and extensions. Comput. Stat. Data Anal. 60: 70-79 (2013) - 2012
- [j4]Keunbaik Lee, Jung Bok Lee, Joseph Hagan, Jae Keun Yoo:
Modeling the random effects covariance matrix for generalized linear mixed models. Comput. Stat. Data Anal. 56(6): 1545-1551 (2012) - 2010
- [j3]Jae Keun Yoo, Keunbaik Lee, Seongho Wu:
On the extension of sliced average variance estimation to multivariate regression. Stat. Methods Appl. 19(4): 529-540 (2010)
2000 – 2009
- 2008
- [j2]Jae Keun Yoo:
A novel moment-based sufficient dimension reduction approach in multivariate regression. Comput. Stat. Data Anal. 52(7): 3843-3851 (2008) - [j1]Jae Keun Yoo, R. Dennis Cook:
Response dimension reduction for the conditional mean in multivariate regression. Comput. Stat. Data Anal. 53(2): 334-343 (2008)
Coauthor Index
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