Youngjo Lee

发表

Fitting via alternative random-effect models

John A. Nelder, Youngjo Lee, J. Nelder, 2006, Stat. Comput..

A general robust t-process regression model

Zhanfeng Wang, Maengseok Noh, Jian Qing Shi, 2021, Comput. Stat. Data Anal..

Clustering with varying risks of false assignments in discrete latent variable model

Youngjo Lee, Donghwan Lee, Dongseok Choi, 2020, Statistical methods in medical research.

Sparse partial least‐squares regression for high‐throughput survival data analysis

Woojoo Lee, Youngjo Lee, Yudi Pawitan, 2013, Statistics in medicine.

A new sparse variable selection via random-effect model

Hee-Seok Oh, Youngjo Lee, Youngjo Lee, 2014, J. Multivar. Anal..

Near optimal MLD receiver for multiple input multiple output systems

Seunghwan Lee, Youngjo Lee, Youngkwon Ryu, 2012, 2012 Fourth International Conference on Communications and Electronics (ICCE).

HGLMs: From Method to Algorithm

Maengseok Noh, Youngjo Lee, Lars Rönnegård, 2017 .

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

Maengseok Noh, Youngjo Lee, Il Do Ha, 2012, R J..

Statistical Modelling of Survival Data with Random Effects: H-Likelihood Approach

Youngjo Lee, Il Do Ha, Jong-Hyeon Jeong, 2018 .

Automatic detection of significant areas for functional data with directional error control

Peirong Xu, Jian Qing Shi, Youngjo Lee, 2015, Statistics in medicine.

Inference for Models with Unobservables

Maengseok Noh, Youngjo Lee, Lars Rönnegård, 2017 .

Development of data-driven technology roadmap considering dependency: : An ARM-based technology roadmapping

Yongtae Park, Youngjung Geum, Youngjo Lee, 2015 .

Self-correcting ensemble using a latent consensus model

Youngjo Lee, Jaewook Lee, Youngdoo Son, 2016, Appl. Soft Comput..

HGLMs for quality improvement

John A. Nelder, Youngjo Lee, Heejin Park, 2011 .

A comparison of the hierarchical likelihood and Bayesian approaches to spatial epidemiological modelling

William J. Browne, Andrew B. Lawson, Youngjo Lee, 2007 .

The hierarchical-likelihood approach to autoregressive stochastic volatility models

Woojoo Lee, Youngjo Lee, Johan Lim, 2011, Comput. Stat. Data Anal..

HGLMs: From Method to Algorithm

Maengseok Noh, Youngjo Lee, Lars Rönnegård, 2017 .

HGLM modelling of dropout process using a frailty model

Maengseok Noh, Youngjo Lee, Keunkwan Ryu, 2005, Comput. Stat..

Modifications of REML algorithm for HGLMs

Woojoo Lee, Youngjo Lee, 2012, Stat. Comput..

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

Youngjo Lee, Yudi Pawitan, Sangin Lee, 2018, Comput. Stat. Data Anal..

Robust inference using hierarchical likelihood approach for heavy-tailed longitudinal outcomes with missing data: An alternative to inverse probability weighted generalized estimating equations

Michael G. Kenward, Youngjo Lee, Myunghee Cho Paik, 2013, Comput. Stat. Data Anal..

Genetic Mixed Linear Models for Twin Survival Data

Youngjo Lee, Yudi Pawitan, Il Do Ha, 2007, Behavior genetics.

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

Youngjo Lee, Il Do Ha, Youngjo Lee, 2010, Stat. Comput..

Volume entropy for modeling information flow in a brain graph

Eunkyung Kim, Hyekyoung Lee, Hyejin Kang, 2019, Scientific Reports.

Performance Assessment of Penalized Variable Selection Methods Using Crop Yield Data from the Three Northern Regions of Ghana

Richard K. Avuglah, Youngjo Lee, Smart A. Sarpong, 2016 .

CREDO: Highly confident disease-relevant A-to-I RNA-editing discovery in breast cancer

Youngjo Lee, Yudi Pawitan, Stefano Calza, 2019, Scientific Reports.

Extended Likelihood Inferences

John A. Nelder, Youngjo Lee, Yudi Pawitan, 2006 .

Frailty modeling for clustered competing risks data with missing cause of failure

Youngjo Lee, Il Do Ha, Minjung Lee, 2017, Statistical methods in medical research.

The h-likelihood analysis for the Rasch model with many subjects

Sophia Rabe-Hesketh, Youngjo Lee, Anders Skrondal, 2008 .

A visual scanning of potential disruptive signals for technology roadmapping: investigating keyword cluster, intensity, and relationship in futuristic data

Yongtae Park, Jieun Kim, Youngjo Lee, 2016, Technol. Anal. Strateg. Manag..

Rate Matching Puncturing Algorithm for Turbo Codes

Youngjo Lee, Youngwoo Yun, Kijun Kim, 2000 .

Variable selection in subdistribution hazard frailty models with competing risks data

Youngjo Lee, Il Do Ha, Jong-Hyeon Jeong, 2014, Statistics in medicine.

Robust Design via Generalized Linear Models

John A. Nelder, Youngjo Lee, J. Nelder, 2003 .

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

Woojoo Lee, Youngjo Lee, Yudi Pawitan, 2010, BMC Bioinformatics.

Dispersion frailty models and HGLMs

Youngjo Lee, Il Do Ha, Maengseok Noh, 2006, Statistics in medicine.

Futuristic data-driven scenario building: Incorporating text mining and fuzzy association rule mining into fuzzy cognitive map

Yongtae Park, Jieun Kim, Youngjo Lee, 2016, Expert Syst. Appl..

Prediction interval for disease mapping using hierarchical likelihood

Youngjo Lee, Woojoo Lee, Myoung-Jin Jang, 2011, Comput. Stat..

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

Maengseok Noh, Lang Wu, Youngjo Lee, 2012, J. Multivar. Anal..

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

Sunghoon Kwon, Youngjo Lee, Seungyoung Oh, 2016, Comput. Stat. Data Anal..

Sparse estimation of gene–gene interactions in prediction models

Youngjo Lee, Yudi Pawitan, Erik Ingelsson, 2017, Statistical methods in medical research.

Approximate conditional inference in mixed-effects models with binary data

Jian Qing Shi, Woojoo Lee, Youngjo Lee, 2010, Comput. Stat. Data Anal..

Hierarchical-likelihood approach for nonlinear mixed-effects models

Maengseok Noh, Youngjo Lee, Youngjo Lee, 2008, Comput. Stat. Data Anal..

Variable Selection for Frailty Models

Youngjo Lee, Il Do Ha, Jong-Hyeon Jeong, 2017 .

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

Youngjo Lee, 2002, Stat. Comput..

Cross-validated wavelet shrinkage

Hee-Seok Oh, Youngjo Lee, Donghoh Kim, 2009, Comput. Stat..

A random-effect model approach for group variable selection

Youngjo Lee, Yudi Pawitan, Sangin Lee, 2015, Comput. Stat. Data Anal..

H-likelihood approach for joint modeling of longitudinal outcomes and time-to-event data.

Youngjo Lee, Il Do Ha, Maengseok Noh, 2017, Biometrical journal. Biometrische Zeitschrift.

Modelling and estimating heavy-tailed non-homogeneous correlated queues: Pareto-inverse gamma HGLM with covariates

Youngjo Lee, Sungcheol Yun, So Young Sohn, 2006 .

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

Youngjo Lee, Donghwan Lee, Youngjo Lee, 2016, J. Multivar. Anal..

Semi-automatic tracking, smoothing and segmentation of hyoid bone motion from videofluoroscopic swallowing study

Jian Qing Shi, Youngjo Lee, Pengcheng Zeng, 2017, PloS one.

Joint Modelling of Repeated Measures and Survival Time Data

Taesung Park, Youngjo Lee, Il Do Ha, 2003 .

Joint hierarchical generalized linear models with multivariate Gaussian random effects

Maengseok Noh, Youngjo Lee, Emmanuel Lesaffre, 2013, Comput. Stat. Data Anal..

Frailty modelling approaches for semi-competing risks data

Mengjiao Peng, Youngjo Lee, Il Do Ha, 2019, Lifetime data analysis.

Hierarchical-Likelihood Approach for Mixed Linear Models with Censored Data

Youngjo Lee, Il Do Ha, Jae-Kee Song, 2002, Lifetime data analysis.

HGLM versus conditional estimators for the analysis of clustered binary data

Youngjo Lee, Moo-Song Lee, Weechang Kang, 2005, Statistics in medicine.

Interval estimation of random effects in proportional hazards models with frailties

Youngjo Lee, Il Do Ha, Florin Vaida, 2016, Statistical methods in medical research.

Inference for Models with Unobservables

Maengseok Noh, Youngjo Lee, Lars Rönnegård, 2017 .

Robust ascertainment‐adjusted parameter estimation

Youngjo Lee, Yudi Pawitan, Maengseok Noh, 2005, Genetic epidemiology.

H-likelihood: problems and solutions

Maengseok Noh, John A. Nelder, Youngjo Lee, 2007, Stat. Comput..

On weighting of bivariate margins in pairwise likelihood

Harry Joe, Youngjo Lee, H. Joe, 2009, J. Multivar. Anal..

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

Hee-Seok Oh, Youngjo Lee, Donghoh Kim, 2006, IEEE Signal Processing Letters.

Comparison of hierarchical and marginal likelihood estimators for binary outcomes

Youngjo Lee, Sungcheol Yun, Youngjo Lee, 2004, Comput. Stat. Data Anal..

Improved multisite stochastic weather generation with applications to historical data in South Korea

Donghwan Lee, Hee-Seok Oh, Youngjo Lee, 2010 .

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

Rung-Ching Chen, Rezzy Eko Caraka, Toni Toharudin, 2020, IEEE Access.

Latent Regression and Ordination Risk of Infectious Disease and Climate

Arif Budiarto, Rung Ching Chen, Bens Pardamean, 2021 .

Epistemic confidence, the Dutch Book and relevant subsets

Youngjo Lee, Yudi Pawitan, Hangbin Lee, 2021, 2104.14712.

Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling

Rung Ching Chen, Maengseok Noh, Bens Pardamean, 2021, Symmetry.

A review on recent advances and applications of h-likelihood method

Maengseok Noh, Youngjo Lee, Donghwan Lee, 2021, Journal of the Korean Statistical Society.

Hybrid Vector Autoregression Feedforward Neural Network with Genetic Algorithm Model for Forecasting Space-Time Pollution Data

Bens Pardamean, Rezzy Eko Caraka, Youngjo Lee, 2021 .

Robust nonlinear structural equation modeling with interaction between exogenous and endogenous latent variables

Maengseok Noh, Youngjo Lee, Shaobo Jin, 2021 .

On rereading Savage

Youngjo Lee, Yudi Pawitan, Youngjo Lee, 2021, 2110.15012.

Possibility of a Korean Statistical Package Development through the Statistical Package Usability Evaluation

Youngjo Lee, Jaeyeol Yee, Inchol Shin, 2021 .

Using multivariate generalized linear latent variable models to measure the difference in event count for stranded marine animals

Rezzy Eko Caraka, Youngjo Lee, Toni Toharudin, 2021 .

FastGLLVM: Big Data Ordination Towards Intensive Care Event Count Cases

Rung Ching Chen, Bens Pardamean, Rezzy Eko Caraka, 2021 .

A review of h-likelihood for survival analysis

Youngjo Lee, Il Do Ha, Youngjo Lee, 2021, Japanese Journal of Statistics and Data Science.

Employing long short-term memory and Facebook prophet model in air temperature forecasting

Rezzy Eko Caraka, Youngjo Lee, Toni Toharudin, 2021, Commun. Stat. Simul. Comput..

Improving Resistivity of Urea Formaldehyde Resin Through Joint Modeling of Mean and Dispersion

Youngjo Lee, Rabindra Nath Das, Youngjo Lee, 2008 .

Two ways of modelling overdispersion in non‐normal data

John A. Nelder, Youngjo Lee, J. Nelder, 2000 .

Robust Modeling for Inference From Generalized Linear Model Classes

Maengseok Noh, Youngjo Lee, Youngjo Lee, 2007 .

Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models

Youngjo Lee, Il Do Ha, Youngjo Lee, 2005 .

A Selection Operator for Summary Association Statistics Reveals Allelic Heterogeneity of Complex Traits

Youngjo Lee, Yudi Pawitan, Zheng Ning, 2017, American journal of human genetics.

Likelihood Inference for Models with Unobservables: Another View

John A. Nelder, Youngjo Lee, 2009 .

Analysis of clustered competing risks data using subdistribution hazard models with multivariate frailties

Youngjo Lee, Il Do Ha, Jong-Hyeon Jeong, 2016, Statistical methods in medical research.

The robustness of the quasilikelihood estimator

John A. Nelder, Youngjo Lee, J. Nelder, 1999 .

REML estimation for binary data in GLMMs

Maengseok Noh, Youngjo Lee, Youngjo Lee, 2007 .

Estimating Frailty Models via Poisson Hierarchical Generalized Linear Models

Youngjo Lee, Il Do Ha, 2003 .

Determinants of hospital closure in South Korea: use of a hierarchical generalized linear model.

Maengseok Noh, Youngjo Lee, Sang-Il Lee, 2006, Social science & medicine.

Data Analysis Using Hierarchical Generalized Linear Models with R

Maengseok Noh, Youngjo Lee, Lars Rönnegård, 2017 .

Generalized linear models for the analysis of Taguchi-type experiments

John A. Nelder, Youngjo Lee, Youngjo Lee, 1991 .

Statistical multisite simulations of summertime precipitation over South Korea and its future change based on observational data

Chun-Ho Cho, Kwang-Yul Kim, Youngjo Lee, 2013, Asia-Pacific Journal of Atmospheric Sciences.

Likelihood, Quasi-likelihood and Pseudolikelihood: Some Comparisons

John A. Nelder, Youngjo Lee, J. Nelder, 1992 .

Impact of COVID-19 large scale restriction on environment and economy in Indonesia

Bens Pardamean, Rezzy Eko Caraka, Youngjo Lee, 2020 .

Sparse partial least-squares regression and its applications to high-throughput data analysis

Youngjo Lee, Yudi Pawitan, Donghwan Lee, 2011 .

Extended-REML estimators

John A. Nelder, Youngjo Lee, J. Nelder, 2003 .

Analysis of ulcer data using hierarchical generalized linear models

Youngjo Lee, J. Nelder, Youngjo Lee, 2002, Statistics in medicine.

Hierarchical likelihood approach to non-Gaussian factor analysis

Maengseok Noh, Youngjo Lee, Toni Toharudin, 2019, Journal of Statistical Computation and Simulation.

Modelling random effect variance with double hierarchical generalized linear models

Maengseok Noh, Youngjo Lee, Youngjo Lee, 2012 .

H-Likelihood Approach to Factor Analysis for Ordinal Data

Maengseok Noh, Youngjo Lee, Shaobo Jin, 2018 .

A review of h‐likelihood and hierarchical generalized linear model

Youngjo Lee, Shaobo Jin, Youngjo Lee, 2020, WIREs Computational Statistics.

Modelling and analysing correlated non-normal data

Youngjo Lee, J. Nelder, Youngjo Lee, 2001 .

Hypothesis testing via a penalized-likelihood approach

Youngjo Lee, Chi Tim Ng, Woojoo Lee, 2019, Journal of the Korean Statistical Society.

Generalized linear models for the analysis of quality‐improvement experiments

John A. Nelder, Youngjo Lee, J. Nelder, 1998 .

Wallet Game: Probability, Likelihood, and Extended Likelihood

Youngjo Lee, Yudi Pawitan, Youngjo Lee, 2017 .

Conditional and Marginal Models: Another View

John A. Nelder, Youngjo Lee, J. Nelder, 2004 .

Using Hierarchical Likelihood for Missing Data Problems

Michael G. Kenward, Youngjo Lee, M. Kenward, 2007 .

The relationship between double‐exponential families and extended quasi‐likelihood families, with application to modelling Geissler's human sex ratio data

John A. Nelder, Youngjo Lee, J. Nelder, 2000 .

Hierarchical likelihood approach for frailty models

Youngjo Lee, Il Do Ha, Jae-Kee Song, 2001 .