Youngjo Lee

Orcid: 0000-0001-9820-6434

Affiliations:
  • Seoul National University, College of Natural Science, Department of Statistics, Seoul, South Korea


According to our database1, Youngjo Lee authored at least 33 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhanced Laplace approximation.
J. Multivar. Anal., 2024

2023
Employing long short-term memory and Facebook prophet model in air temperature forecasting.
Commun. Stat. Simul. Comput., February, 2023

2022
Albatross analytics a hands-on into practice: statistical and data science application.
J. Big Data, 2022

2021
Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling.
Symmetry, 2021

A general robust t-process regression model.
Comput. Stat. Data Anal., 2021

Cluster Around Latent Variable for Vulnerability Towards Natural Hazards, Non-Natural Hazards, Social Hazards in West Papua.
IEEE Access, 2021

2020
Using Hierarchical Likelihood Towards Support Vector Machine: Theory and Its Application.
IEEE Access, 2020

2018
Sparse pathway-based prediction models for high-throughput molecular data.
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.
Technol. Anal. Strateg. Manag., 2016

Extended likelihood approach to multiple testing with directional error control under a hidden Markov random field model.
J. Multivar. Anal., 2016

Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map.
Expert Syst. Appl., 2016

The use of random-effect models for high-dimensional variable selection problems.
Comput. Stat. Data Anal., 2016

Self-correcting ensemble using a latent consensus model.
Appl. Soft Comput., 2016

2015
A random-effect model approach for group variable selection.
Comput. Stat. Data Anal., 2015

2014
A new sparse variable selection via random-effect model.
J. Multivar. Anal., 2014

2013
Joint hierarchical generalized linear models with multivariate Gaussian random effects.
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.
Comput. Stat. Data Anal., 2013

2012
Modifications of REML algorithm for HGLMs.
Stat. Comput., 2012

frailtyHL: A Package for Fitting Frailty Models with H-likelihood.
R J., 2012

Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates.
J. Multivar. Anal., 2012

2011
Prediction interval for disease mapping using hierarchical likelihood.
Comput. Stat., 2011

The hierarchical-likelihood approach to autoregressive stochastic volatility models.
Comput. Stat. Data Anal., 2011

2010
Orthodox BLUP versus h-likelihood methods for inferences about random effects in Tweedie mixed models.
Stat. Comput., 2010

Approximate conditional inference in mixed-effects models with binary data.
Comput. Stat. Data Anal., 2010

Super-sparse principal component analyses for high-throughput genomic data.
BMC Bioinform., 2010

2009
On weighting of bivariate margins in pairwise likelihood.
J. Multivar. Anal., 2009

Cross-validated wavelet shrinkage.
Comput. Stat., 2009

2008
Hierarchical-likelihood approach for nonlinear mixed-effects models.
Comput. Stat. Data Anal., 2008

2007
H-likelihood: problems and solutions.
Stat. Comput., 2007

2006
Hierarchical-likelihood-based wavelet method for denoising signals with missing data.
IEEE Signal Process. Lett., 2006

Fitting via alternative random-effect models.
Stat. Comput., 2006

2005
HGLM modelling of dropout process using a frailty model.
Comput. Stat., 2005

2002
Robust variance estimators for fixed-effect estimates with hierarchical-likelihood.
Stat. Comput., 2002


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