Youngjo Lee

According to our database, Youngjo Lee authored at least 32 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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, Rung Ching Chen

Commun. Stat. Simul. Comput., February, 2023

2022

Albatross analytics a hands-on into practice: statistical and data science application.

Rezzy Eko Caraka, Youngjo Lee, Jeongseop Han, Hangbin Lee, Maengseok Noh, Il Do Ha, Prana Ugiana Gio, Bens Pardamean

J. Big Data, 2022

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, Prana Ugiana Gio, Bens Pardamean

Symmetry, 2021

A general robust t-process regression model.

Zhanfeng Wang, Maengseok Noh, Youngjo Lee, Jian Qing Shi

Comput. Stat. Data Anal., 2021

Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua.

Rezzy Eko Caraka, Youngjo Lee, Rung Ching Chen, Toni Toharudin, Prana Ugiana Gio, Robert Kurniawan, Bens Pardamean

IEEE Access, 2021

2020

Using Hierarchical Likelihood Towards Support Vector Machine: Theory and Its Application.

Rezzy Eko Caraka, Youngjo Lee, Rung-Ching Chen, Toni Toharudin

IEEE Access, 2020

2018

Sparse pathway-based prediction models for high-throughput molecular data.

Sangin Lee, Youngjo Lee, Yudi Pawitan

Comput. Stat. Data Anal., 2018

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

Technol. Anal. Strateg. Manag., 2016

Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model.

Donghwan Lee, Youngjo Lee

J. Multivar. 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, Yongtae Park

Expert Syst. Appl., 2016

The use of random-effect models for high-dimensional variable selection problems.

Sunghoon Kwon, Seungyoung Oh, Youngjo Lee

Comput. Stat. Data Anal., 2016

Self-correcting ensemble using a latent consensus model.

Namhyoung Kim, Youngdoo Son, Youngjo Lee, Jaewook Lee

Appl. Soft Comput., 2016

2015

A random-effect model approach for group variable selection.

Sangin Lee, Yudi Pawitan, Youngjo Lee

Comput. Stat. Data Anal., 2015

2014

A new sparse variable selection via random-effect model.

Youngjo Lee, Hee-Seok Oh

J. Multivar. Anal., 2014

2013

Joint hierarchical generalized linear models with multivariate Gaussian random effects.

Marek Molas, Maengseok Noh, Youngjo Lee, Emmanuel Lesaffre

Comput. Stat. Data Anal., 2013

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, Youngjo Lee, Myunghee Cho Paik, Michael G. Kenward

Comput. Stat. Data Anal., 2013

2012

Modifications of REML algorithm for HGLMs.

Woojoo Lee, Youngjo Lee

Stat. Comput., 2012

frailtyHL: A Package for Fitting Frailty Models with H-likelihood.

Il Do Ha, Maengseok Noh, Youngjo Lee

R J., 2012

Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates.

Maengseok Noh, Lang Wu, Youngjo Lee

J. Multivar. Anal., 2012

2011

Prediction interval for disease mapping using hierarchical likelihood.

Youngjo Lee, Myoungjin Jang, Woojoo Lee

Comput. Stat., 2011

The hierarchical-likelihood approach to autoregressive stochastic volatility models.

Woojoo Lee, Johan Lim, Youngjo Lee, Joan del Castillo

Comput. Stat. Data Anal., 2011

2010

Orthodox BLUP versus h-likelihood methods for inferences about random effects in Tweedie mixed models.

Youngjo Lee, Il Do Ha

Stat. Comput., 2010

Approximate conditional inference in mixed-effects models with binary data.

Woojoo Lee, Jian Qing Shi, Youngjo Lee

Comput. Stat. Data Anal., 2010

Super-sparse principal component analyses for high-throughput genomic data.

Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawitan

BMC Bioinform., 2010

2009

On weighting of bivariate margins in pairwise likelihood.

Harry Joe, Youngjo Lee

J. Multivar. Anal., 2009

Cross-validated wavelet shrinkage.

Hee-Seok Oh, Donghoh Kim, Youngjo Lee

Comput. Stat., 2009

2008

Hierarchical-likelihood approach for nonlinear mixed-effects models.

Maengseok Noh, Youngjo Lee

Comput. Stat. Data Anal., 2008

2007

H-likelihood: problems and solutions.

Youngjo Lee, John A. Nelder, Maengseok Noh

Stat. Comput., 2007

2006

Hierarchical-likelihood-based wavelet method for denoising signals with missing data.

Donghoh Kim, Youngjo Lee, Hee-Seok Oh

IEEE Signal Process. Lett., 2006

Fitting via alternative random-effect models.

Youngjo Lee, John A. Nelder

Stat. Comput., 2006

2005

HGLM modelling of dropout process using a frailty model.

Youngjo Lee, Maengseok Noh, Keunkwan Ryu

Comput. Stat., 2005

2002

Robust variance estimators for fixed-effect estimates with hierarchical-likelihood.

Youngjo Lee

Stat. Comput., 2002