Equilibrium dynamics of ice streams: a Bayesian statistical analysis. - L. Mark Berliner; Noel Cressie; Kenneth C. Jezek; Yongku Kim; C. Q. Lam; C. J. van der Veen (Stat. Methods Appl., 2008)

Bayesian variable selection under the proportional hazards mixed-effects model. - Kyeong Eun Lee; Yongku Kim; Ronghui Xu (Comput. Stat. Data Anal., 2014)

Hierarchical Bayesian Approach to a Multi-Site Hidden Markov Model. - Dal Ho Kim; Gyuhyeong Goh; Yongku Kim (Commun. Stat. Simul. Comput., 2014)

Approximated Information Analysis in Bayesian Inference. - Jung In Seo; Yongku Kim (Entropy, 2015)

Change of spatiotemporal scale in dynamic models. - Yongku Kim; L. Mark Berliner (Comput. Stat. Data Anal., 2016)

Bayesian Genetic Association Test when Secondary Phenotypes Are Available Only in the Case Group. - Yongku Kim; Minjung Kwak (Entropy, 2016)

Nonparametric Bayesian analysis for multi-site hidden Markov model. - Dal Ho Kim; Aejung Jo; Yongku Kim (Commun. Stat. Simul. Comput., 2017)

Robust Bayesian estimation of a two-parameter exponential distribution under generalized Type-I progressive hybrid censoring. - Jung In Seo; Yongku Kim (Commun. Stat. Simul. Comput., 2017)

Robust Bayesian estimation of a bathtub-shaped distribution under progressive Type-II censoring. - Jung In Seo; Suk-Bok Kang; Yongku Kim (Commun. Stat. Simul. Comput., 2017)

Noninformative priors for the ratio of the shape parameters of two Weibull distributions. - Sanggil Kang; Woo Dong Lee; Yongku Kim (Comput. Stat., 2017)

Objective Bayesian testing on the common mean of several normal distributions under divergence-based priors. - Sanggil Kang; Woo Dong Lee; Yongku Kim (Comput. Stat., 2017)

Objective Bayesian Entropy Inference for Two-Parameter Logistic Distribution Using Upper Record Values. - Jung In Seo; Yongku Kim (Entropy, 2017)

Nonparametric Bayesian modeling for monotonicity in catch ratio. - Dal Ho Kim; Hyunnam Ryu; Yongku Kim (Commun. Stat. Simul. Comput., 2018)

Bayesian pollution source identification via an inverse physics model. - Youngdeok Hwang; Hang J. Kim; Won Chang; Kyongmin Yeo; Yongku Kim (Comput. Stat. Data Anal., 2019)

A matching prior for the product of normal means based on the modified profile likelihood. - Yongku Kim; Woo Dong Lee; Sanggil Kang (Commun. Stat. Simul. Comput., 2019)

Objective Bayesian tests for Fieller-Creasy problem. - Dal Ho Kim; Woo Dong Lee; Sanggil Kang; Yongku Kim (Comput. Stat., 2019)

Objective Bayesian Prediction of Future Record Statistics Based on the Exponentiated Gumbel Distribution: Comparison with Time-Series Prediction. - Yongku Kim; Jung In Seo (Symmetry, 2020)

Posterior properties under matching priors for generalized gamma distribution. - Sanggil Kang; Woo Dong Lee; Yongku Kim (Commun. Stat. Simul. Comput., 2021)

Bayesian Multiple Change-Points Detection in a Normal Model with Heterogeneous Variances. - Sanggil Kang; Woo Dong Lee; Yongku Kim (Comput. Stat., 2021)

Objective Bayesian analysis for generalized exponential stress-strength model. - Sanggil Kang; Woo Dong Lee; Yongku Kim (Comput. Stat., 2021)

Nonparametric prior elicitation for a binomial proportion. - Jung In Seo; Yongku Kim (Commun. Stat. Simul. Comput., 2022)

Note on the family of proportional reversed hazard distributions. - Jung In Seo; Yongku Kim (Commun. Stat. Simul. Comput., 2022)

Objective Bayesian group variable selection for linear model. - Sanggil Kang; Woo Dong Lee; Yongku Kim (Comput. Stat., 2022)

Semiparametric spatial frailty modeling for survival data based on copulas. - Jung In Seo; Yongku Kim (Commun. Stat. Simul. Comput., 2024)

Objective Bayesian analysis of the ratio of bivariate lognormal means. - Sanggil Kang; Woo Dong Lee; Yongku Kim (Commun. Stat. Simul. Comput., 2024)

Low-Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization. - Yongku Kim; Jae-Hwan Jhong; Ja-Yong Koo; Kwan-Young Bak (Stat. Anal. Data Min., 2025)