Publications

In Revision

• J. I. Seo, Y. E. Jeon, and Y. Kim (2026) Calibrated Mondrian conformal prediction for uncertainty quantification in spatial modeling. Pattern Recognition.

Accepted papers (in press)

• Y. E. Jeon, Y. Kim and J. I. Seo (2026) Enhanced bagging-based framework for forecasting non-stationary time series: Bridging non-stationarity with a scaled logit transformation. Journal of Forecasting.

Selected Publications

• J. I. Seo, Y. E. Jeon, and Y. Kim (2026) A hierarchical Bayesian framework for spatially varying coefficient models with copula-based dependence, Stat, 15, e70133

• J. W. Lee, Y. E. Jeon and J. I. Seo (2025) An integrated oversampling and noise reduction method for robust predictive analytics, Decision Analytics Journal, 16, 100612

• Y. E. Jeon, Y. Kim and J. I. Seo (2025) Objective Framework for Bayesian Inference in Multicomponent Pareto Stress–Strength Model Under an Adaptive Progressive Type-II Censoring Scheme, Mathematics, 13, 1379

• Y. E. Jeon, Y. Kim and J. I. Seo (2025) Extreme value model under an adaptive progressive Type-II censoring: Application of a pivotal quantity , Communications for Statistical Applications and Methods, 32, 197-213

• Y. E. Jeon and J. I. Seo (2025) Predictive modeling based on a hybrid sampling strategy for an imbalanced heart failure dataset , Journal of the Korean Data and Information Science Society, 36, 359-366.

• Y. E. Jeon and J. I. Seo (2024) Objective Bayesian analysis using reparameterization for Type-II hybrid censored Rayleigh data , Journal of the Korean Data and Information Science Society, 35, 933-948.

• Y. E. Jeon, Y. Kim and J. I. Seo (2024) Predictive analysis of doubly Type-Ⅱ censored models, AIMS Mathematics, 9, 28508-28525.

• Y. Kim and J. I. Seo (2024) Semiparametric spatial frailty modeling for survival data based on copulas, Communications in Statistics-Simulation and Computation, 53, 3748-3757.

• S. Kim, Y. Kim and J. I. Seo (2024) Nonparametric Bayesian modeling for non-normal data through a transformation, AIMS Mathematics, 9, 18103-18116.

• Y. E. Jeon, S. B. Kang and J. I. Seo (2024) Pivotal based inference for a pareto distribution under the adaptive progressive type II censoring scheme, AIMS Mathematics, 9, 6041-6059.

• Y. E. Jeon, S. B. Kang and J. I. Seo (2024) Enhancing the predictive performance of non stationary time series data through various transformations, Journal of the Korean Data and Information Science Society, 35, 145-152.

• S. Kim, J. I. Seo, and Y. Kim (2023) Computational issues on the blocked Gibbs algorithm, Journal of the Korean Data and Information Science Society, 34, 1041-1050.

• Y. E. Jeon, S. B. Kang and J. I. Seo (2023) Novel estimation based on a minimum distance under the progressive Type-II censoring scheme, Communications for Statistical Applications and Methods, 30, 411–421.

• S. Kim, J. I. Seo, and Y. Kim (2023) Nonparametric Bayesian copula modeling for shrinkage through the transformation, Journal of the Korean Data and Information Science Society, 34, 685-695.

• Y. E. Jeon, S. B. Kang and J. I. Seo (2023) Predictability model of the sea ice extent based on a machine learning technique, Journal of the Korean Data and Information Science Society, 34, 331–340.

• J. I. Seo and J. H. Chang (2022) Predicting reports of theft in businesses via machine learning, International Journal of Advanced Culture Technology, 10, 499-510.

• Y. E. Jeon, S. B. Kang and J. I. Seo (2022) Maximum product of spacings under a generalized Type-II progressive hybrid censoring scheme, Communications for Statistical Applications and Methods, 29, 665–677.

• Y. E. Jeon, S. B. Kang and J. I. Seo (2022) Spatio-temporal analysis with risk factors for five major violent crimes, The Korean Journal of Applied Statistics, 35, 619–629.

• J. I. Seo and Y. Kim (2022) Note on the family of proportional reversed hazard distributions, Communications in Statistics-Simulation and Computation, 51, 5832–5844

• J. I. Seo (2022) Objective Bayesian analysis for the Weibull distribution with partial information under generalized Type-II progressive hybrid censoring scheme, Communications in Statistics-Simulation and Computation, 51, 5157–5173.

• J. H. Kang, J. H. Chang and J. I. Seo (2022) Analysis on changes of hate crime in the united states after the COVID-19 using natural language process, Korean Criminal Psychology Review, 18, 7-20.

• J. I. Seo and Y. Kim (2022) Nonparametric prior elicitation for a binomial proportion, Communications in Statistics-Simulation and Computation, 51, 2809-2821.

• Y. E. Jeon, S. B. Kang and J. I. Seo (2022) Hybrid predictive modeling for charging demand prediction of electric vehicles, Sustainability, 14, 5426.

• Y. E. Jeon, S. B. Kang and J. I. Seo (2022) Spatio-temporal modeling to reduce women’s fear of crime, Journal of the Korean Data and Information Science Society, 33, 299-309.

• J. Lee, M. An, Y. Kim and J. I. Seo (2021) Optimal allocation for electric vehicle charging stations, Energies, 14, 5781.

• Y. Choi, J. H. Lee and J. I. Seo (2021) Change in T/QRS ratio can be a supplementary diagnostic tool in predicting coronary artery disease in patients with NSTEMI, American Journal of Emergency Medicine, 39, 48-54.

• J. I. Seo, Y. E. Jeon and S. B. Kang (2020) New Approach for a Weibull Distribution under the Progressive Type-II censoring Scheme, Mathematics, 8, 1713-1723.

• J. W. Lee and J. J. Song, Y. Kim and J. I. Seo (2020) Estimation and prediction of record values using pivotal quantities and copulas, Mathematics, 8, 1678-1694.

• K. Lee and J. I. Seo (2020) Different approaches to estimation of the Gompertz distribution under the progressive Type-II censoring scheme, Journal of Probability and Statistics, 2020, 1-7.

• J. I. Seo and Y. Kim (2020) Objective Bayesian prediction of future record statistics based on the exponentiated Gumbel distribution: comparison with time-series prediction, Symmetry, 12, 1443-1456.

• Y. H. Kim, J. H. Lee, J. I. Seo, D. H. Lee, W. Y. Kim, and B. K. Lee (2020) Risks according to the timing and frequency of hypotension episodes in postanoxic comatose patients, Journal of Clinical Medicine, 9, 2750-2764.

• Y. E. Jeon, S. B. Kang, and J. I. Seo (2020) Forecasting the number of terrorism using ARIMA and dynamic linear models, Korean terrorism studies Review, 13, 102-114.

• S. B. Kang, Y. Kim, and J. I. Seo (2020) Statistical properties on generalized half-logistic distribution, Journal of the Korean Data and Information Science Society, 31, 439-453.

• J. I. Seo (2019) Inference for an exponentiated Pareto record values based on the pivotal quantity, Journal of the Korean Data and Information Science Society, 30, 885-893.

• J. I. Seo and J. J. Song (2019) A Bayesian nonparametric model for upper record data, Applied Mathematical Modelling, 71, 363-374.

• J. I. Seo, B. G. Seo and S. B. Kang (2019) Estimation on a two-parameter Rayleigh distribution under the progressive Type-II censoring scheme: comparative study, Communications for Statistical Applications and Methods, 26, 92-102.

• Y. J. Gu, J. H. Lee and J. I. Seo (2019) Effect of Lumbar Elevation with Manipulated Valsalva Maneuver on the Central Veins in Normal Subjects, The American Journal of Emergency Medicine, 37, 539-542.

• J. I. Seo, H. Y. Kim, and S. B. Kang (2018) New approach for analysis of progressive Type-II censored data from the Pareto distribution, Communications for Statistical Applications and Methods, 25, 569-575.

• J. I. Seo and Y. Kim (2018) Objective Bayesian inference based on upper record values from Rayleigh distribution, Communications for Statistical Applications and Methods, 25, 411-430.

• J. I. Seo, J. W. Jeon and S. B. Kang (2018) Bayesian approach for generalized progressive hybrid censored samples from the Gompertz distribution, Far East Journal of Mathematical Sciences, 106, 253-266.

• J. I. Seo and Y. Kim (2018) Robust Bayesian analysis for exponential parameters under generalized Type-II progressive hybrid censoring, Communications in Statistics - Theory and Methods, 47, 2259- 2277.

• J. I. Seo and Y. Kim (2017) Robust Bayesian estimation of a two-parameter exponential distribution under generalized Type-I progressive hybrid censoring, Communications in Statistics-Simulation and Computation, 46, 5795-5807.

• J. I. Seo and S. B. Kang (2017) Inference for the two-parameter half-logistic distribution using pivotal quantities under progressively Type-II censoring schemes, Communications in Statistics-Theory and Methods, 46, 5462-5478.

• S. H. Bae, J. H. Lee, J. I. Seo and I. H. Kwon (2017) Comparison of Hemodynamic Variables Associated with Cardiac Output in Patients in the Intensive Care Unit, Journal of The Korean Society of Emergency Medicine, 28, 309-317.

• J. I. Seo and S. B. Kang (2017) More efficient inference using hybrid censored data from a continuous probability distribution with the scale parameter, Far East Journal of Mathematical Sciences, 101, 2043-2054.

• J. I. Seo and Y. Kim (2017) Objective Bayesian entropy inference for two-parameter logistic distribution using upper record values, Entropy, 19, 1-11.

• J. I. Seo and Y. Kim (2017) Objective Bayesian analysis based on upper record values from two- parameter Rayleigh distribution with partial information, Journal of Applied Statistics, 44, 2222- 2237.

• J. I. Seo and Y. Kim (2017) Bayesian inference on extreme value distribution using upper record values, Communications in Statistics-Theory and Methods, 46, 7751-7768.

• J. I. Seo, S. B. Kang and Y. Kim (2017) Robust Bayesian estimation of a bathtub-shaped distribution under progressive Type-II censoring, Communications in Statistics-Simulation and Computation, 46, 1008-1023.

• J. I. Seo, J. W. Jeon and S. B. Kang (2016) Exact interval inference for the two-parameter Rayleigh distribution based on the upper record values, Journal of Probability and Statistics, 2016, 1-5.

• J. I. Seo and S. B. Kang (2016) More efficient approaches to the exponentiated half-logistic distribution based on record values, Springer Plus, 5, 1-18.

• J. I. Seo and S. B. Kang (2016) An objective Bayesian analysis of the two-parameter half logistic distribution based on progressively Type-II censored samples, Journal of Applied Statistics, 43, 2172-2190.

• J. I. Seo and S. B. Kang (2016) A Bayesian hierarchical model for a bathtub-shape distribution based on Type-II hybrid censored samples, International Journal of Applied Mathematics and Statistics, 54, 42-50.

• J. I. Seo and Y. Kim (2016) Statistical inference on Gumbel distribution using lower record values, Journal of the Korean Statistical Society, 45, 342-357.

• Yeon-Ju Seo, S. B. Kang and J. I. Seo (2015) Pivotal inference for the generalized logistic distribution based on progressively Type-II censored sample, International Journal of Applied Mathematics and Statistics, 53, 120-127.

• J. I. Seo, S. B. Kang and K. M. Hwang (2015) A Hierarchical Bayesian estimation method for the Type-II generalized logistic distribution based on progressively Type-II censored samples, Far East Journal of Mathematical Sciences, 97, 1013-1022.

• J. I. Seo and S. B. Kang (2015) Bayesian estimation of the Entropy of the half-logistic distribution based on Type-II censored samples, International Journal of Applied Mathematics and Statistics, 53, 58-66.

• J. I. Seo and S. B. Kang (2015) Pivotal inference for the scaled half logistic distribution based on progressively Type-II censored samples, Statistics and Probability Letters, 104, 109-116.

• J. I. Seo and Y. Kim (2015) Approximated information analysis in Bayesian inference, Entropy, 17, 1441-1451.

• J. I. Seo and S. B. Kang (2015) Notes on the exponentiated half logistic distribution, Applied Mathematical Modelling, 39, 64-91.

• J. I. Seo and Y. Kim (2014) Nonparametric Bayesian estimation on the exponentiated inverse Weibull distribution with record values, Journal of the Korean Data and Information Science Society, 25, 611-622.

• J. I. Seo and S. B. Kang (2014) Bayesian analysis for the exponentiated half logistic distribution based on record values, International Journal of Applied Mathematics and Statistics, 52, 1-11.

• J. I. Seo and S. B. Kang (2014) Predictions for Progressively Type-II Censored Failure Times from the Half Triangle Distribution, Communications of the Korean Statistical Society, 21, 93-103.

• J. I. Seo and S. B. Kang (2014) Entropy estimation of generalized half-logistic distribution (GHLD) based on Type-II censored samples, Entropy, 16, 443-454.

• S. B. Kang, J. I. Seo and Y. Kim (2013) Bayesian analysis of an exponentiated half-logistic distri- bution under progressively type-II censoring, Journal of the Korean Data and Information Science Society, 24, 1455-1464.

• Y. Kim, J. I. Seo and S. B. Kang (2013) An analysis of record statistics based on an exponentiated Gumbel model, Communications for Statistical Applications and Methods, 20, 405-416.

• J. I. Seo, Y. Kim and S. B. Kang (2013) Estimation on the generalized half logistic distribution under Type-II hybrid censoring, Communications for Statistical Applications and Methods, 20, 63-75.

• S. B. Kang, J. I. Seo and Y. Kim (2013) Estimation for two-parameter generalized exponential distribution based on records, Communications for Statistical Applications and Methods, 20, 29-39.

• J. I. Seo, H. J. Lee and S. B. Kang (2012) Estimation for generalized half logistic distribution based on records, Journal of the Korean Data and Information Science Society, 23, 1249-1257.

• Y. Kim, J. I. Seo and S. B. Kang (2012) Bayesian estimators using record statistics of exponentiated inverse Weibull distribution, Communications for Statistical Applications and Methods, 19, 479-493.

• Y. Kim, S. B. Kang and J. I. Seo (2011) Bayesian estimations on the exponentiated distribution family with Type-II right censoring, Communications for Statistical Applications and Methods, 18, 603-613.

• Y. Kim, S. B. Kang and J. I. Seo (2011) Bayesian estimation in the generalized half logistic distribution under progressively Type-II censoring, Journal of the Korean Data and Information Science Society, 22, 977-987.

• S. B. Kang and J. I. Seo (2011) Estimation in an exponentiated half logistic distribution under progressively Type-II censoring, Communications for Statistical Applications and Methods, 18, 657- 666.

• Y. Kim, S. B. Kang and J. I. Seo (2011) Bayesian estimations on the exponentiated half triangle distribution under Type-I hybrid censoring, Journal of the Korean Data and Information Science Society, 22, 565-574.

• Y. Kim, S. B. Kang, S. H. Han and J. I. Seo (2011) Profile likelihood estimation of generalized half logistic distribution under progressively Type-II censoring, Journal of the Korean Data and Information Science Society, 22, 597-603.