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Yongku Kim
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2020 – today
- 2024
- [j25]Jung In Seo, Yongku Kim:
Semiparametric spatial frailty modeling for survival data based on copulas. Commun. Stat. Simul. Comput. 53(8): 3748-3757 (2024) - [j24]Sanggil Kang, Woo Dong Lee, Yongku Kim:
Objective Bayesian analysis of the ratio of bivariate lognormal means. Commun. Stat. Simul. Comput. 53(10): 4703-4719 (2024) - 2022
- [j23]Jung In Seo, Yongku Kim:
Nonparametric prior elicitation for a binomial proportion. Commun. Stat. Simul. Comput. 51(6): 2809-2821 (2022) - [j22]Jung In Seo, Yongku Kim:
Note on the family of proportional reversed hazard distributions. Commun. Stat. Simul. Comput. 51(10): 5832-5844 (2022) - [j21]Sanggil Kang, Woo Dong Lee, Yongku Kim
:
Objective Bayesian group variable selection for linear model. Comput. Stat. 37(3): 1287-1310 (2022) - 2021
- [j20]Sanggil Kang, Woo Dong Lee, Yongku Kim:
Posterior properties under matching priors for generalized gamma distribution. Commun. Stat. Simul. Comput. 50(4): 1202-1216 (2021) - [j19]Sanggil Kang, Woo Dong Lee, Yongku Kim
Bayesian Multiple Change-Points Detection in a Normal Model with Heterogeneous Variances. Comput. Stat. 36(2): 1365-1390 (2021) - [j18]Sanggil Kang, Woo Dong Lee, Yongku Kim
Objective Bayesian analysis for generalized exponential stress-strength model. Comput. Stat. 36(3): 2079-2109 (2021) - 2020
- [j17]Yongku Kim
Objective Bayesian Prediction of Future Record Statistics Based on the Exponentiated Gumbel Distribution: Comparison with Time-Series Prediction. Symmetry 12(9): 1443 (2020)
2010 – 2019
- 2019
- [j16]Youngdeok Hwang, Hang J. Kim
Bayesian pollution source identification via an inverse physics model. Comput. Stat. Data Anal. 134: 76-92 (2019) - [j15]Yongku Kim
A matching prior for the product of normal means based on the modified profile likelihood. Commun. Stat. Simul. Comput. 48(5): 1312-1329 (2019) - [j14]Dal Ho Kim, Woo Dong Lee, Sanggil Kang, Yongku Kim
Objective Bayesian tests for Fieller-Creasy problem. Comput. Stat. 34(3): 1159-1182 (2019) - 2018
- [j13]Dal Ho Kim, Hyunnam Ryu
Nonparametric Bayesian modeling for monotonicity in catch ratio. Commun. Stat. Simul. Comput. 47(4): 1056-1065 (2018) - 2017
- [j12]Jung In Seo, Suk-Bok Kang, Yongku Kim
Robust Bayesian estimation of a bathtub-shaped distribution under progressive Type-II censoring. Commun. Stat. Simul. Comput. 46(2): 1008-1023 (2017) - [j11]Dal Ho Kim, Aejung Jo, Yongku Kim
Nonparametric Bayesian analysis for multi-site hidden Markov model. Commun. Stat. Simul. Comput. 46(6): 4896-4907 (2017) - [j10]Jung In Seo, Yongku Kim
Robust Bayesian estimation of a two-parameter exponential distribution under generalized Type-I progressive hybrid censoring. Commun. Stat. Simul. Comput. 46(7): 5795-5807 (2017) - [j9]Sanggil Kang, Woo Dong Lee, Yongku Kim
Noninformative priors for the ratio of the shape parameters of two Weibull distributions. Comput. Stat. 32(1): 35-50 (2017) - [j8]Sanggil Kang, Woo Dong Lee, Yongku Kim
Objective Bayesian testing on the common mean of several normal distributions under divergence-based priors. Comput. Stat. 32(1): 71-91 (2017) - [j7]Jung In Seo, Yongku Kim
Objective Bayesian Entropy Inference for Two-Parameter Logistic Distribution Using Upper Record Values. Entropy 19(5): 208 (2017) - 2016
- [j6]Yongku Kim
Change of spatiotemporal scale in dynamic models. Comput. Stat. Data Anal. 101: 80-92 (2016) - [j5]Yongku Kim
Bayesian Genetic Association Test when Secondary Phenotypes Are Available Only in the Case Group. Entropy 18(4): 91 (2016) - 2015
- [j4]Jung In Seo, Yongku Kim
Approximated Information Analysis in Bayesian Inference. Entropy 17(3): 1441-1451 (2015) - 2014
- [j3]Kyeong Eun Lee, Yongku Kim
Bayesian variable selection under the proportional hazards mixed-effects model. Comput. Stat. Data Anal. 75: 53-65 (2014) - [j2]Dal Ho Kim, Gyuhyeong Goh, Yongku Kim
Hierarchical Bayesian Approach to a Multi-Site Hidden Markov Model. Commun. Stat. Simul. Comput. 43(6): 1241-1252 (2014)
2000 – 2009
- 2008
- [j1]L. Mark Berliner, Noel Cressie
Equilibrium dynamics of ice streams: a Bayesian statistical analysis. Stat. Methods Appl. 17(2): 145-165 (2008)
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