Robust variance estimators for fixed-effect estimates with hierarchical-likelihood. - Youngjo Lee 001 (Stat. Comput., 2002)

HGLM modelling of dropout process using a frailty model. - Youngjo Lee 001; Maengseok Noh; Keunkwan Ryu (Comput. Stat., 2005)

Fitting via alternative random-effect models. - Youngjo Lee 001; John A. Nelder (Stat. Comput., 2006)

Hierarchical-likelihood-based wavelet method for denoising signals with missing data. - Donghoh Kim; Youngjo Lee 001; Hee-Seok Oh (IEEE Signal Process. Lett., 2006)

H-likelihood: problems and solutions. - Youngjo Lee 001; John A. Nelder; Maengseok Noh (Stat. Comput., 2007)

Hierarchical-likelihood approach for nonlinear mixed-effects models. - Maengseok Noh; Youngjo Lee 001 (Comput. Stat. Data Anal., 2008)

Cross-validated wavelet shrinkage. - Hee-Seok Oh; Donghoh Kim; Youngjo Lee 001 (Comput. Stat., 2009)

On weighting of bivariate margins in pairwise likelihood. - Harry Joe; Youngjo Lee 001 (J. Multivar. Anal., 2009)

Super-sparse principal component analyses for high-throughput genomic data. - Donghwan Lee 001; Woojoo Lee; Youngjo Lee 001; Yudi Pawitan (BMC Bioinform., 2010)

Approximate conditional inference in mixed-effects models with binary data. - Woojoo Lee; Jian Qing Shi; Youngjo Lee 001 (Comput. Stat. Data Anal., 2010)

Orthodox BLUP versus h-likelihood methods for inferences about random effects in Tweedie mixed models. - Youngjo Lee 001; Il Do Ha (Stat. Comput., 2010)

The hierarchical-likelihood approach to autoregressive stochastic volatility models. - Woojoo Lee; Johan Lim; Youngjo Lee 001; Joan del Castillo (Comput. Stat. Data Anal., 2011)

Prediction interval for disease mapping using hierarchical likelihood. - Youngjo Lee 001; Myoungjin Jang; Woojoo Lee (Comput. Stat., 2011)

Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates. - Maengseok Noh; Lang Wu; Youngjo Lee 001 (J. Multivar. Anal., 2012)

frailtyHL: A Package for Fitting Frailty Models with H-likelihood. - Il Do Ha; Maengseok Noh; Youngjo Lee 001 (R J., 2012)

Modifications of REML algorithm for HGLMs. - Woojoo Lee; Youngjo Lee 001 (Stat. Comput., 2012)

Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations. - Donghwan Lee 001; Youngjo Lee 001; Myunghee Cho Paik; Michael G. Kenward (Comput. Stat. Data Anal., 2013)

Joint hierarchical generalized linear models with multivariate Gaussian random effects. - Marek Molas; Maengseok Noh; Youngjo Lee 001; Emmanuel Lesaffre (Comput. Stat. Data Anal., 2013)

A new sparse variable selection via random-effect model. - Youngjo Lee 001; Hee-Seok Oh (J. Multivar. Anal., 2014)

A random-effect model approach for group variable selection. - Sangin Lee; Yudi Pawitan; Youngjo Lee 001 (Comput. Stat. Data Anal., 2015)

Self-correcting ensemble using a latent consensus model. - Namhyoung Kim; Youngdoo Son; Youngjo Lee 001; Jaewook Lee 001 (Appl. Soft Comput., 2016)

The use of random-effect models for high-dimensional variable selection problems. - Sunghoon Kwon; Seungyoung Oh; Youngjo Lee 001 (Comput. Stat. Data Anal., 2016)

Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map. - Jieun Kim; Mintak Han; Youngjo Lee 001; Yongtae Park (Expert Syst. Appl., 2016)

Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model. - Donghwan Lee 001; Youngjo Lee 001 (J. Multivar. Anal., 2016)

A visual scanning of potential disruptive signals for technology roadmapping: investigating keyword cluster, intensity, and relationship in futuristic data. - Jieun Kim; Yongtae Park; Youngjo Lee 001 (Technol. Anal. Strateg. Manag., 2016)

Sparse pathway-based prediction models for high-throughput molecular data. - Sangin Lee; Youngjo Lee 001; Yudi Pawitan (Comput. Stat. Data Anal., 2018)

Using Hierarchical Likelihood Towards Support Vector Machine: Theory and Its Application. - Rezzy Eko Caraka; Youngjo Lee 001; Rung-Ching Chen; Toni Toharudin (IEEE Access, 2020)

Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua. - Rezzy Eko Caraka; Youngjo Lee 001; Rung Ching Chen; Toni Toharudin; Prana Ugiana Gio; Robert Kurniawan; Bens Pardamean (IEEE Access, 2021)

A general robust t-process regression model. - Zhanfeng Wang; Maengseok Noh; Youngjo Lee 001; Jian Qing Shi (Comput. Stat. Data Anal., 2021)

Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling. - Rezzy Eko Caraka; Maengseok Noh; Rung-Ching Chen; Youngjo Lee 001; Prana Ugiana Gio; Bens Pardamean (Symmetry, 2021)

Albatross analytics a hands-on into practice: statistical and data science application. - Rezzy Eko Caraka; Youngjo Lee 001; Jeongseop Han; Hangbin Lee; Maengseok Noh; Il Do Ha; Prana Ugiana Gio; Bens Pardamean (J. Big Data, 2022)

Employing long short-term memory and Facebook prophet model in air temperature forecasting. - Toni Toharudin; Resa Septiani Pontoh; Rezzy Eko Caraka; Solichatus Zahroh; Youngjo Lee 001; Rung Ching Chen (Commun. Stat. Simul. Comput., 2023)

Enhanced Laplace approximation. - Jeongseop Han; Youngjo Lee 001 (J. Multivar. Anal., 2024)