Youngjo Lee

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Hierarchical Generalized Linear Models

J. Nelder, Youngjo Lee, 1996 .

JOINT MODELING OF MEAN AND DISPERSION

J. Nelder, Youngjo Lee, 1998 .

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood

J. Nelder, Youngjo Lee, Y. Pawitan, 2006 .

Multilevel Mixed Linear Models for Survival Data

Youngjo Lee, Il Do Ha, 2005, Lifetime data analysis.

Hierarchical generalised linear models: A synthesis of generalised linear models, random-effect models and structured dispersions

J. Nelder, Youngjo Lee, 2001 .

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

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

Double hierarchical generalized linear models

J. Nelder, Youngjo Lee, 2006 .

Double hierarchical generalized linear models (with discussion)

J. Nelder, Youngjo Lee, 2006 .

Extended-REML estimators

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

Likelihood, Quasi-likelihood and Pseudolikelihood: Some Comparisons

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

Variable Selection in General Frailty Models Using Penalized H-Likelihood

Youngjo Lee, I. Ha, Jianxin Pan, 2014 .

Model selection for multi‐component frailty models

Youngjo Lee, I. Ha, G. MacKenzie, 2007, Statistics in medicine.

Hierarchical likelihood approach for frailty models

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

GLM-methods for volatility models

Youngjo Lee, J. D. Castillo, 2008 .

Variational Mode Decomposition with Missing Data

Youngjo Lee, Hee‐Seok Oh, Guebin Choi, 2015 .

Popper’s Falsification and Corroboration from the Statistical Perspectives

Youngjo Lee, Y. Pawitan, 2020, Karl Popper's Science and Philosophy.

Extended likelihood approach to large‐scale multiple testing

Youngjo Lee, J. F. Bjørnstad, 2013 .

Bernoulli Change-point estimators with true identification property

Youngjo Lee, Woojoo Lee, Ng Chitim, 2016 .

Correspondence between bats population and terrestrial cave-dwelling arthropods community in Tasikmalaya karst area

Rezzy Eko Caraka, Youngjo Lee, R. Chen, 2020 .

Likelihood estimate of treatment effects under selection bias

Youngjo Lee, M. Noh, Md Moudud Alam, 2013 .

H-Likelihood Approach to Factor Analysis for Ordinal Data

Maengseok Noh, Youngjo Lee, Shaobo Jin, 2018 .

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.

Conditional and Marginal Models: Another View

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

Rejoinder: Likelihood Inference for Models with Unobservables Another View

J. Nelder, Youngjo Lee, 2009, 1010.0814.

A review of h‐likelihood and hierarchical generalized linear model

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

Log-Normal Versus Gamma Models for Analyzing Data from Quality-Improvement Experiments

Youngjo Lee, R. Das, 2008 .

Modelling and analysing correlated non-normal data

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

A fast wavelet approach for recovering damaged images

Youngjo Lee, Hee‐Seok Oh, Donghoh Kim, 2008 .

Going beyond oracle property: Selection consistency and uniqueness of local solution of the generalized linear model

Youngjo Lee, Seung-Young Oh, C. Ng, 2016 .

Logical and test consistency in pairwise multiple comparisons

Youngjo Lee, Woojoo Lee, C. Ng, 2020 .

Cardiac Index Predicted Factors for Shock Patients

Youngjo Lee, Jinseog Kim, R. Das, 2019 .

Data Analysis Using Hierarchical Generalized Linear Models with R

Maengseok Noh, Youngjo Lee, Lars Rönnegård, 2017 .

Spatial modeling of data with excessive zeros applied to reindeer pellet‐group counts

Youngjo Lee, A. Skarin, M. Noh, 2016, Ecology and evolution.

COMPUTING THE WALD INTERVAL FOR A VARIANCE RATIO

Youngjo Lee, J. Seely, 1996 .

Review of Mixed-Effect Models

Youngjo Lee, 2015 .

A post hoc analysis of intra-subject coefficients of variation in pharmacokinetic measures to calculate optimal sample sizes for bioequivalence studies

Youngjo Lee, Jae-Yong Chung, I. Jang, 2017, Translational and clinical pharmacology.

A Hierarchical Generalized Linear Model in Combination with Dispersion Modeling to Improve Sib-Pair Linkage Analysis

Jeonghwan Kim, Youngjo Lee, Woojoo Lee, 2015, Human Heredity.

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

Rezzy Eko Caraka, Prana Ugiana Gio, Youngjo Lee, 2021, IEEE Access.

Generalized linear models for the analysis of Taguchi-type experiments

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

Cluster-specific nonignorably missing, endogenous, and continuous regressors in multilevel model for binary outcome

Youngjo Lee, M. Paik, Hongsoon Kim, 2020, Statistical methods in medical research.

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

Rezzy Eko Caraka, Prana Ugiana Gio, Youngjo Lee, 2022, J. Big Data.

Relationship of Alanine Aminotransferase (SGPT) with other Liver Biomarkers

Youngjo Lee, Jinseog Kim, R. Das, 2019 .

Influencing Factors for Maximum Heart Rate Achieved for Cardiac Patients

Youngjo Lee, R. Das, R. Sahoo, 2019 .

Social Vulnerability and How It Matters: A Bibliometric Analysis

Rezzy Eko Caraka, Youngjo Lee, B. Pardamean, 2021, International Journal of Criminology and Sociology.

Raynaud’s phenomenon and anti‐nuclear antibody are associated with pulmonary function decline in patients with dermatomyositis and polymyositis

Youngjo Lee, E. Lee, E. Lee, 2018, International journal of rheumatic diseases.

Resolving the induction problem: Can we state with complete confidence via induction that the sun rises forever?

Youngjo Lee, 2020, 2001.04110.

Association of monocyte chemoattractant protein-1 with age, glucose, BMI, insulin and other breast cancer biomarkers

Youngjo Lee, Jinseog Kim, R. Das, 2019 .

Extended Likelihood Inferences

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

Sampling bias and logistic models - Discussion

Peter J. Diggle, Steffen L. Lauritzen, David R. Cox, 2008 .

Robust second-order rotatable designs invariably applicable for some lifetime distributions

Youngjo Lee, Jinseog Kim, Poonam Singh, 2021, Communications for Statistical Applications and Methods.

In defense of LASSO

Youngjo Lee, Woojoo Lee, C. Ng, 2020, Communications in Statistics - Theory and Methods.

Sparse Canonical Covariance Analysis for High-throughput Data

Youngjo Lee, Y. Pawitan, Donghwan Lee, 2011 .

Maximum Likelihood Imputation

Jae Kwang Kim, Youngjo Lee, J. Han, 2022, 2207.09891.

Effects of Plasma Volume and Red Cell Index on Cardiac Parameters for Shock Patients

Youngjo Lee, R. Das, Gaurab Bhattacharyya, 2018 .

Complex Association of Albumin with Other Liver Biomarkers

Youngjo Lee, R. Sahoo, S. Sengupta, 2019 .

Enhanced Laplace Approximation

Youngjo Lee, J. Han, 2022, 2207.09871.

Frailty modelling approaches for semi-competing risks data

Youngjo Lee, Liming Xiang, I. Ha, 2019, Lifetime Data Analysis.

Shrinking toward submodels in regression

Youngjo Lee, D. Birkes, 1994 .

Jackknife variance estimators of the location estimator in the one-way random-effects model

Youngjo Lee, 1991 .

Estimation of multivariate normal mean and its application to mixed linear models

Youngjo Lee, 1983 .

Decomposing P300 into correlates of genetic risk and current symptoms in schizophrenia: An inter-trial variability analysis

Tae Young Lee, Youngjo Lee, D. Salisbury, 2017, Schizophrenia Research.

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..

Interval estimation of random effects in proportional hazards models with frailties

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

Frequentist Inference on Random Effects Based on Summarizability

Youngjo Lee, M. Paik, I. Ha, 2015 .

Random-effect models with singular precision

Youngjo Lee, Woojoo Lee, 2013 .

LIKELIHOOD-BASED MODELS BEYOND GLMS

Youngjo Lee, 2004 .

HGLMs for analysis of correlated non-normal data

J. Nelder, Youngjo Lee, 2000 .

Robust Modeling for Inference From Generalized Linear Model Classes

Maengseok Noh, Youngjo Lee, Youngjo Lee, 2007 .

Characterizing Sums of Squares by Their Distributions

Youngjo Lee, D. Birkes, J. Seely, 1997 .

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.

A note on the satterthwaite confidence interval for a variance

Youngjo Lee, J. Seely, 1994 .

REML estimation for binary data in GLMMs

Maengseok Noh, Youngjo Lee, Youngjo Lee, 2007 .

H-likelihood: problems and solutions

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

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.

Korean, Japanese, and Chinese populations featured similar genes encoding drug-metabolizing enzymes and transporters: a DMET Plus microarray assessment

Youngjo Lee, Y. Sugiyama, Joo-Youn Cho, 2014, Pharmacogenetics and genomics.

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

Youngjo Lee, Y. Pawitan, S. Calza, 2019, Scientific Reports.

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..

Spatial and Temporal Distribution of Plasmodium vivax Malaria in Korea Estimated with a Hierarchical Generalized Linear Model

Youngjo Lee, Sun Huh, J. Gwack, 2012, Osong public health and research perspectives.

Approximate conditional inference in mixed-effects models with binary data

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

Random effect models for variable selection

Youngjo Lee, Hee‐Seok Oh, 2008 .

Extended negative binomial hurdle models

Youngjo Lee, M. Noh, 2019, Statistical methods in medical research.

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

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

Semiparametric estimation for nonparametric frailty models using nonparametric maximum likelihood approach

Youngjo Lee, Il Do Ha, Byungtae Seo, 2021, Statistical methods in medical research.

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..

Robust Design via Generalized Linear Models

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

The Determinants Of Mean Central Venous Pressure For Shock Patients

Youngjo Lee, R. Das, Seungyoung Oh, 2018 .

On rereading Savage

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

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

Maengseok Noh, Youngjo Lee, Shaobo Jin, 2021 .

Hierarchical-Likelihood Approach for Mixed Linear Models with Censored Data

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

Robust estimation of dropout models using hierarchical likelihood

M. Kenward, Youngjo Lee, M. Noh, 2011 .

A hospital-based case-control study of breast-cancer risk factors by estrogen and progesterone receptor status

Youngjo Lee, K. Yoo, H. Risch, 2004, Cancer Causes & Control.

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

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

Robust first-order rotatable lifetime improvement experimental designs

Youngjo Lee, Jinseog Kim, R. Das, 2015 .

Analyzing spatially correlated counts with excessive zeros : a case of modeling the changes of reindeer distribution

Youngjo Lee, A. Skarin, Moudud Alam, 2013 .

Wallet Game: Probability, Likelihood, and Extended Likelihood

Youngjo Lee, Yudi Pawitan, Youngjo Lee, 2017 .

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

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

Latent Regression and Ordination Risk of Infectious Disease and Climate

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

Hierarchical likelihood approach to non-Gaussian factor analysis

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

Comparison of hierarchical and marginal likelihood estimators for binary outcomes

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

The Role of Commitment in the Relationship between Components of Organizational Culture and Intention to Stay

Youngjo Lee, S. A. Sarpong, Irene Ofosua-Adjei, 2021, Sustainability.

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

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

Diffusion pattern analysis for social networking sites using small-world network multiple influence model

Yongtae Park, Daekook Kang, Bomi Song, 2015 .

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..

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 .

Comparison of the modified unbounded penalty and the LASSO to select predictive genes of response to chemotherapy in breast cancer

Youngjo Lee, Seungyoung Oh, O. Collignon, 2018, PloS one.

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..

Hierarchical-likelihood approach for nonlinear mixed-effects models

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

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..

Statistical inference using generalized linear mixed models under informative cluster sampling

Jae Kwang Kim, Youngjo Lee, Seunghwan Park, 2017 .

Genetic Mixed Linear Models for Twin Survival Data

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

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.

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

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

Inter-Relationships of Cholesterol With Cardiac Factors for Heart Patients

Youngjo Lee, Jinseog Kim, R. Das, 2020 .

Epistemic confidence, the Dutch Book and relevant subsets

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

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

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

H‐likelihood Predictive Intervals for Unobservables

Youngjo Lee, Gwangsun Kim, 2016 .

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

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

Confidence as Likelihood

Youngjo Lee, Y. Pawitan, 2021, Statistical Science.

Fitting via alternative random-effect models

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

The Impact of Social Media Influencers Raffi Ahmad and Nagita Slavina on Tourism Visit Intentions across Millennials and Zoomers Using a Hierarchical Likelihood Structural Equation Model

Prana Ugiana Gio, Youngjo Lee, Mohammad Basyuni, 2022, Sustainability.

Inter-relationship between diabetes and breast cancer biomarkers

Youngjo Lee, Jinseog Kim, R. Das, 2019 .

A nonparametric plug-in rule for selecting optimal block lengths for block bootstrap methods ☆

Soumendra N. Lahiri, S. Lahiri, Youngjo Lee, 2007 .

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

Yongtae Park, Youngjung Geum, Youngjo Lee, 2015 .

Dispersion frailty models and HGLMs

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

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

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

On weighting of bivariate margins in pairwise likelihood

Harry Joe, Youngjo Lee, H. Joe, 2009, 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.

Using Hierarchical Likelihood for Missing Data Problems

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

Hypothesis testing via a penalized-likelihood approach

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

Analysis of PM2.5, PM10, and Total Suspended Particle Exposure in the Tema Metropolitan Area of Ghana

Youngjo Lee, S. A. Sarpong, Racheal Fosu Donkoh, 2021, Atmosphere.

A review of h-likelihood for survival analysis

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

Analysis of ulcer data using hierarchical generalized linear models

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

Association between fever pattern and clinical manifestations of adult-onset Still's disease: unbiased analysis using hierarchical clustering.

Youngjo Lee, E. Lee, J. Park, 2018, Clinical and experimental rheumatology.

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

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

A new sparse variable selection via random-effect model

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

Deep Neural Networks for Semiparametric Frailty Models via H-likelihood

Youngjo Lee, I. Ha, Hangbin Lee, 2023, ArXiv.

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

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

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

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

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

Youngjo Lee, Yudi Pawitan, Donghwan Lee, 2011 .

Multicomponent variance estimation for binary traits in family‐based studies

Y Pawitan, Youngjo Lee, Y. Pawitan, 2006, Genetic epidemiology.

Robust ascertainment‐adjusted parameter estimation

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

Penalized variable selection for cause‐specific hazard frailty models with clustered competing‐risks data

Youngjo Lee, I. Ha, T. W. Rakhmawati, 2021, Statistics in medicine.

Variable selection in subdistribution hazard frailty models with competing risks data

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

Resolving the ambiguity of random‐effects models with singular precision matrix

Youngjo Lee, H. Piepho, Woojoo Lee, 2021, Statistica Neerlandica.

Cross-validated wavelet shrinkage

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

Bivariate B-splines in generalised linear models

Youngjo Lee, J. Koo, 1994 .

Are There Spatial and Temporal Correlations in the Incidence Distribution of Scrub Typhus in Korea?

Youngjo Lee, Sun Huh, J. Gwack, 2013, Osong public health and research perspectives.

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

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

Fixed‐effect versus random‐effect models for evaluating therapeutic preferences

Youngjo Lee, 2002, Statistics in Medicine.

HGLM versus conditional estimators for the analysis of clustered binary data

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

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

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

Sparse estimation of gene–gene interactions in prediction models

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

Modelling random effect variance with double hierarchical generalized linear models

Maengseok Noh, Youngjo Lee, Youngjo Lee, 2012 .

Analyzing weather effects on airborne particulate matter with HGLM

Youngjo Lee, Yoon Dong Lee, Sung-Cheol Yun, 2003 .

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

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

Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood

J. Nelder, Youngjo Lee, Y. Pawitan, 2006 .

A random-effect model approach for group variable selection

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

Change-point estimators with true identification property

Youngjo Lee, Woojoo Lee, C. Ng, 2018 .

The hierarchical-likelihood approach to autoregressive stochastic volatility models

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

False parsimony and its detection with GLMs

J. Nelder, Youngjo Lee, 2003 .

Can we recover information from concordant pairs in binary matched pairs?

Youngjo Lee, 2001 .

Biases of the restricted maximum likelihood estimators for ARMA processes with polynomial time trend

Youngjo Lee, D. Shin, Weechang Kang, 2003 .

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

Prana Ugiana Gio, Youngjo Lee, Il Do Ha, 2022, Journal of Big Data.

The robustness of the quasilikelihood estimator

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