Youngjo Lee

34 papers Journal 34
YearRankTypeTitle / Venue / Authors
2025 J jnl
Overcoming Dilution of Collision Probability in Satellite Conjunction Analysis via Confidence Distribution.
Entropy
Hangbin Lee, Youngjo Lee
2024 J jnl
Enhanced Laplace approximation.
J. Multivar. Anal.
Jeongseop Han, Youngjo Lee
2023 J jnl
Employing long short-term memory and Facebook prophet model in air temperature forecasting.
Commun. Stat. Simul. Comput.
Toni Toharudin, Resa Septiani Pontoh, Rezzy Eko Caraka, Solichatus Zahroh, Youngjo Lee, Rung Ching Chen
2022 J jnl
Albatross analytics a hands-on into practice: statistical and data science application.
J. Big Data
Rezzy Eko Caraka, Youngjo Lee, Jeongseop Han, Hangbin Lee, Maengseok Noh, Il Do Ha, Prana Ugiana Gio, Bens Pardamean
2021 J jnl
A general robust t-process regression model.
Comput. Stat. Data Anal.
Zhanfeng Wang, Maengseok Noh, Youngjo Lee, Jian Qing Shi
2021 J jnl
Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua.
IEEE Access
Rezzy Eko Caraka, Youngjo Lee, Rung Ching Chen, Toni Toharudin, Prana Ugiana Gio, Robert Kurniawan, Bens Pardamean
2021 J jnl
Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling.
Symmetry
Rezzy Eko Caraka, Maengseok Noh, Rung-Ching Chen, Youngjo Lee, Prana Ugiana Gio, Bens Pardamean
2020 J jnl
Using Hierarchical Likelihood Towards Support Vector Machine: Theory and Its Application.
IEEE Access
Rezzy Eko Caraka, Youngjo Lee, Rung-Ching Chen, Toni Toharudin
2018 J jnl
Sparse pathway-based prediction models for high-throughput molecular data.
Comput. Stat. Data Anal.
Sangin Lee, Youngjo Lee, Yudi Pawitan
2016 J jnl
A visual scanning of potential disruptive signals for technology roadmapping: investigating keyword cluster, intensity, and relationship in futuristic data.
Technol. Anal. Strateg. Manag.
Jieun Kim, Yongtae Park, Youngjo Lee
2016 J jnl
Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model.
J. Multivar. Anal.
Donghwan Lee, Youngjo Lee
2016 J jnl
Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map.
Expert Syst. Appl.
Jieun Kim, Mintak Han, Youngjo Lee, Yongtae Park
2016 J jnl
Self-correcting ensemble using a latent consensus model.
Appl. Soft Comput.
Namhyoung Kim, Youngdoo Son, Youngjo Lee, Jaewook Lee
2016 J jnl
The use of random-effect models for high-dimensional variable selection problems.
Comput. Stat. Data Anal.
Sunghoon Kwon, Seungyoung Oh, Youngjo Lee
2015 J jnl
A random-effect model approach for group variable selection.
Comput. Stat. Data Anal.
Sangin Lee, Yudi Pawitan, Youngjo Lee
2014 J jnl
A new sparse variable selection via random-effect model.
J. Multivar. Anal.
Youngjo Lee, Hee-Seok Oh
2013 J jnl
Joint hierarchical generalized linear models with multivariate Gaussian random effects.
Comput. Stat. Data Anal.
Marek Molas, Maengseok Noh, Youngjo Lee, Emmanuel Lesaffre
2013 J jnl
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.
Donghwan Lee, Youngjo Lee, Myunghee Cho Paik, Michael G. Kenward
2012 J jnl
Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates.
J. Multivar. Anal.
Maengseok Noh, Lang Wu, Youngjo Lee
2012 J jnl
Modifications of REML algorithm for HGLMs.
Stat. Comput.
Woojoo Lee, Youngjo Lee
2012 J jnl
frailtyHL: A Package for Fitting Frailty Models with H-likelihood.
R J.
Il Do Ha, Maengseok Noh, Youngjo Lee
2011 J jnl
Prediction interval for disease mapping using hierarchical likelihood.
Comput. Stat.
Youngjo Lee, Myoungjin Jang, Woojoo Lee
2011 J jnl
The hierarchical-likelihood approach to autoregressive stochastic volatility models.
Comput. Stat. Data Anal.
Woojoo Lee, Johan Lim, Youngjo Lee, Joan del Castillo
2010 J jnl
Approximate conditional inference in mixed-effects models with binary data.
Comput. Stat. Data Anal.
Woojoo Lee, Jian Qing Shi, Youngjo Lee
2010 J jnl
Orthodox BLUP versus h-likelihood methods for inferences about random effects in Tweedie mixed models.
Stat. Comput.
Youngjo Lee, Il Do Ha
2010 J jnl
Super-sparse principal component analyses for high-throughput genomic data.
BMC Bioinform.
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawitan
2009 J jnl
Cross-validated wavelet shrinkage.
Comput. Stat.
Hee-Seok Oh, Donghoh Kim, Youngjo Lee
2009 J jnl
On weighting of bivariate margins in pairwise likelihood.
J. Multivar. Anal.
Harry Joe, Youngjo Lee
2008 J jnl
Hierarchical-likelihood approach for nonlinear mixed-effects models.
Comput. Stat. Data Anal.
Maengseok Noh, Youngjo Lee
2007 J jnl
H-likelihood: problems and solutions.
Stat. Comput.
Youngjo Lee, John A. Nelder, Maengseok Noh
2006 J jnl
Fitting via alternative random-effect models.
Stat. Comput.
Youngjo Lee, John A. Nelder
2006 J jnl
Hierarchical-likelihood-based wavelet method for denoising signals with missing data.
IEEE Signal Process. Lett.
Donghoh Kim, Youngjo Lee, Hee-Seok Oh
2005 J jnl
HGLM modelling of dropout process using a frailty model.
Comput. Stat.
Youngjo Lee, Maengseok Noh, Keunkwan Ryu
2002 J jnl
Robust variance estimators for fixed-effect estimates with hierarchical-likelihood.
Stat. Comput.
Youngjo Lee