Yongku Kim

According to our database, Yongku Kim authored at least 23 papers between 2008 and 2022.

Collaborative distances:

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

2022

Objective Bayesian group variable selection for linear model.

Sanggil Kang, Woo Dong Lee, Yongku Kim

Comput. Stat., 2022

Note on the family of proportional reversed hazard distributions.

Jung In Seo, Yongku Kim

Commun. Stat. Simul. Comput., 2022

Nonparametric prior elicitation for a binomial proportion.

Jung In Seo, Yongku Kim

Commun. Stat. Simul. Comput., 2022

2021

Objective Bayesian analysis for generalized exponential stress-strength model.

Sanggil Kang, Woo Dong Lee, Yongku Kim

Comput. Stat., 2021

Bayesian Multiple Change-Points Detection in a Normal Model with Heterogeneous Variances.

Sanggil Kang, Woo Dong Lee, Yongku Kim

Comput. Stat., 2021

Posterior properties under matching priors for generalized gamma distribution.

Sanggil Kang, Woo Dong Lee, Yongku Kim

Commun. Stat. Simul. Comput., 2021

2020

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

2019

Objective Bayesian tests for Fieller-Creasy problem.

Dal Ho Kim, Woo Dong Lee, Sanggil Kang, Yongku Kim

Comput. Stat., 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

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

2018

Nonparametric Bayesian modeling for monotonicity in catch ratio.

Dal Ho Kim, Hyunnam Ryu, Yongku Kim

Commun. Stat. Simul. Comput., 2018

2017

Objective Bayesian Entropy Inference for Two-Parameter Logistic Distribution Using Upper Record Values.

Jung In Seo, Yongku Kim

Entropy, 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

Noninformative priors for the ratio of the shape parameters of two Weibull distributions.

Sanggil Kang, Woo Dong Lee, Yongku Kim

Comput. Stat., 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

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

Nonparametric Bayesian analysis for multi-site hidden Markov model.

Dal Ho Kim, Aejung Jo, Yongku Kim

Commun. Stat. Simul. Comput., 2017

2016

Bayesian Genetic Association Test when Secondary Phenotypes Are Available Only in the Case Group.

Yongku Kim, Minjung Kwak

Entropy, 2016

Change of spatiotemporal scale in dynamic models.

Yongku Kim, L. Mark Berliner

Comput. Stat. Data Anal., 2016

2015

Approximated Information Analysis in Bayesian Inference.

Jung In Seo, Yongku Kim

Entropy, 2015

2014

Hierarchical Bayesian Approach to a Multi-Site Hidden Markov Model.

Dal Ho Kim, Gyuhyeong Goh, Yongku Kim

Commun. Stat. Simul. Comput., 2014

Bayesian variable selection under the proportional hazards mixed-effects model.

Kyeong Eun Lee, Yongku Kim, Ronghui Xu

Comput. Stat. Data Anal., 2014

2008

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