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Youngjo Lee 0001
Person information
- affiliation: Seoul National University, College of Natural Science, Department of Statistics, Seoul, South Korea
Other persons with the same name
- Youngjo Lee — disambiguation page
- Youngjo Lee 0002 — Yonsei University, School of Electrical and Electronic Engineering, Seoul, South Korea
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2020 – today
- 2024
- [j33]Jeongseop Han, Youngjo Lee:
Enhanced Laplace approximation. J. Multivar. Anal. 202: 105321 (2024) - 2023
- [j32]Toni Toharudin, Resa Septiani Pontoh, Rezzy Eko Caraka, Solichatus Zahroh, Youngjo Lee, Rung Ching Chen:
Employing long short-term memory and Facebook prophet model in air temperature forecasting. Commun. Stat. Simul. Comput. 52(2): 279-290 (2023) - 2022
- [j31]Rezzy Eko Caraka, Youngjo Lee, Jeongseop Han, Hangbin Lee, Maengseok Noh, Il Do Ha, Prana Ugiana Gio, Bens Pardamean:
Albatross analytics a hands-on into practice: statistical and data science application. J. Big Data 9(1): 70 (2022) - 2021
- [j30]Rezzy Eko Caraka, Youngjo Lee, Rung Ching Chen, Toni Toharudin, Prana Ugiana Gio, Robert Kurniawan, Bens Pardamean:
Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua. IEEE Access 9: 1972-1986 (2021) - [j29]Zhanfeng Wang, Maengseok Noh, Youngjo Lee, Jian Qing Shi:
A general robust t-process regression model. Comput. Stat. Data Anal. 154: 107093 (2021) - [j28]Rezzy Eko Caraka, Maengseok Noh, Rung-Ching Chen, Youngjo Lee, Prana Ugiana Gio, Bens Pardamean:
Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling. Symmetry 13(4): 657 (2021) - 2020
- [j27]Rezzy Eko Caraka, Youngjo Lee, Rung-Ching Chen, Toni Toharudin:
Using Hierarchical Likelihood Towards Support Vector Machine: Theory and Its Application. IEEE Access 8: 194795-194807 (2020)
2010 – 2019
- 2018
- [j26]Sangin Lee, Youngjo Lee, Yudi Pawitan:
Sparse pathway-based prediction models for high-throughput molecular data. Comput. Stat. Data Anal. 126: 125-135 (2018) - 2016
- [j25]Namhyoung Kim, Youngdoo Son, Youngjo Lee, Jaewook Lee:
Self-correcting ensemble using a latent consensus model. Appl. Soft Comput. 47: 262-270 (2016) - [j24]Sunghoon Kwon, Seungyoung Oh, Youngjo Lee:
The use of random-effect models for high-dimensional variable selection problems. Comput. Stat. Data Anal. 103: 401-412 (2016) - [j23]Jieun Kim, Mintak Han, Youngjo Lee, Yongtae Park:
Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map. Expert Syst. Appl. 57: 311-323 (2016) - [j22]Donghwan Lee, Youngjo Lee:
Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model. J. Multivar. Anal. 151: 1-13 (2016) - [j21]Jieun Kim, Yongtae Park, Youngjo Lee:
A visual scanning of potential disruptive signals for technology roadmapping: investigating keyword cluster, intensity, and relationship in futuristic data. Technol. Anal. Strateg. Manag. 28(10): 1225-1246 (2016) - 2015
- [j20]Sangin Lee, Yudi Pawitan, Youngjo Lee:
A random-effect model approach for group variable selection. Comput. Stat. Data Anal. 89: 147-157 (2015) - 2014
- [j19]Youngjo Lee, Hee-Seok Oh:
A new sparse variable selection via random-effect model. J. Multivar. Anal. 125: 89-99 (2014) - 2013
- [j18]Donghwan Lee, Youngjo Lee, Myunghee Cho Paik, Michael G. Kenward:
Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations. Comput. Stat. Data Anal. 59: 171-179 (2013) - [j17]Marek Molas, Maengseok Noh, Youngjo Lee, Emmanuel Lesaffre:
Joint hierarchical generalized linear models with multivariate Gaussian random effects. Comput. Stat. Data Anal. 68: 239-250 (2013) - 2012
- [j16]Maengseok Noh, Lang Wu, Youngjo Lee:
Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates. J. Multivar. Anal. 109: 42-51 (2012) - [j15]Il Do Ha, Maengseok Noh, Youngjo Lee:
frailtyHL: A Package for Fitting Frailty Models with H-likelihood. R J. 4(2): 28 (2012) - [j14]Woojoo Lee, Youngjo Lee:
Modifications of REML algorithm for HGLMs. Stat. Comput. 22(4): 959-966 (2012) - 2011
- [j13]Woojoo Lee, Johan Lim, Youngjo Lee, Joan del Castillo:
The hierarchical-likelihood approach to autoregressive stochastic volatility models. Comput. Stat. Data Anal. 55(1): 248-260 (2011) - [j12]Youngjo Lee, Myoungjin Jang, Woojoo Lee:
Prediction interval for disease mapping using hierarchical likelihood. Comput. Stat. 26(1): 159-179 (2011) - 2010
- [j11]Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawitan:
Super-sparse principal component analyses for high-throughput genomic data. BMC Bioinform. 11: 296 (2010) - [j10]Woojoo Lee, Jian Qing Shi, Youngjo Lee:
Approximate conditional inference in mixed-effects models with binary data. Comput. Stat. Data Anal. 54(1): 173-184 (2010) - [j9]Youngjo Lee, Il Do Ha:
Orthodox BLUP versus h-likelihood methods for inferences about random effects in Tweedie mixed models. Stat. Comput. 20(3): 295-303 (2010)
2000 – 2009
- 2009
- [j8]Hee-Seok Oh, Donghoh Kim, Youngjo Lee:
Cross-validated wavelet shrinkage. Comput. Stat. 24(3): 497-512 (2009) - [j7]Harry Joe, Youngjo Lee:
On weighting of bivariate margins in pairwise likelihood. J. Multivar. Anal. 100(4): 670-685 (2009) - 2008
- [j6]Maengseok Noh, Youngjo Lee:
Hierarchical-likelihood approach for nonlinear mixed-effects models. Comput. Stat. Data Anal. 52(7): 3517-3527 (2008) - 2007
- [j5]Youngjo Lee, John A. Nelder, Maengseok Noh:
H-likelihood: problems and solutions. Stat. Comput. 17(1): 49-55 (2007) - 2006
- [j4]Youngjo Lee, John A. Nelder:
Fitting via alternative random-effect models. Stat. Comput. 16(1): 69-75 (2006) - [j3]Donghoh Kim, Youngjo Lee, Hee-Seok Oh:
Hierarchical-likelihood-based wavelet method for denoising signals with missing data. IEEE Signal Process. Lett. 13(6): 361-364 (2006) - 2005
- [j2]Youngjo Lee, Maengseok Noh, Keunkwan Ryu:
HGLM modelling of dropout process using a frailty model. Comput. Stat. 20(2): 295-309 (2005) - 2002
- [j1]Youngjo Lee:
Robust variance estimators for fixed-effect estimates with hierarchical-likelihood. Stat. Comput. 12(3): 201-207 (2002)
Coauthor Index
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last updated on 2024-10-07 22:23 CEST by the dblp team
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