Research

Submitted papers (* corresponding author, ** co-first author)

• Kyoungjae Lee, Seongil Jo*, and Jaeyong Lee. Scalable and optimal Bayesian inference for sparse covariance matrices via screened beta-mixture prior.

• Keunhong Jeong, Jihyun Nam, Seul Lee, Jahyun Koo, Jooyeon Lee, Donghyun Yu, Seongil Jo*, Jaeoh Kim*. Prediction of flash point of materials using Bayesian kernel machine regression based on Gaussian processes with LASSO-Like spike-and-slab hyperprior.

• Kwangmin Lee, Kyeongwon Lee, Kyoungjae Lee, and Seongil Jo*. bspcov: an R package for Bayesian sparse covariance matrix estimation.

• Seongil Jo, Shinhee Yeh, Woojoo Lee. Gaussian variational approximation to Bayesian kernel machine regression with horseshoe prior for estimating high-dimensional exposures.

Published/Accepted papers (* corresponding author, ** co-first author)

(2024)

• Kwangmin Lee, Seongmin Kim, Seongil Jo*, and Jaeyong Lee. Estimation of World Seroprevalence of SARS-CoV-2 antibodies. Journal of Applied Statistics, doi = 10.1080/02664763.2024.2335569.

• Jongwoo Choi, Seongil Jo*, and Jaeoh Kim*. A Bayesian time-varying coefficient model for Cobb–Douglas production function. Computational Economics, doi = 10.1007/s10614-024-10598-1.

• Jaeoh Kim, Chulhee Han, Jungman Lee, Woo-Seop Yun, Seojin Lee, Taehoon Yang, Donghyeon Yu*, and Seongil Jo*. Improvement of SAR target classification using GAN-based data augmentation and wavelet transformation. Accepted for publication in Military Operations Research Journal.

• Jihyun Nam, Jongmin Mun, Seongil Jo*, and Jaeoh Kim*. Prediction of forest fire risk for artillery military training using weighted support vector machine for imbalabced data. Journal of Classification, 41, 170-189.

• Jeongin Lee, Jaeoh Kim, and Seongil Jo*. A study on Bayesian beta regressions for modelling rates and proportions. Accepted for publication in The Korean Journal of Applied Statistics.

이정인, 김재오, 조성일. 비율자료 모델링을 위한 베이지안 베타회귀모형의 비교 연구. 응용통계연구.

(2023)

• Seojin Lee, Morang Huh, Seongil Jo*, and Jaeoh Kim*. A study on US corn yield forecasts considering spatial dependence. Journal of the Korean Data & Information Science Society, 34(6), 1-15.

이서진, 허모랑, 조성일, 김재오. 공간 종속성을 고려한 미국 옥수수 수율 예측에 관한 연구. 한국데이터정보과학회지, 34(6), 1-15.

• Jaeoh Kim, Seongil Jo**, and Kyoungjae Lee. Bayesian computation methods for state-space models: an application to SIR model. Journal of Statistical Computation and Simulation, 93(7), 1207-1223.

• Kwangwoo Jung, Jaeoh Kim, Hojin Jung, Seungwon Seo, Jiman Hong, Hyoungwoo Bai, and Seongil Jo*. Curve fitting algorithm of functional radiation-response data using Bayesian hierarchical Gaussian process regression model. IEEE Access, 11, 7109-7116.

(2022)

• Youngseon Lee, Seongil Jo*, and Jaeyong Lee. A variational inference for the Levy adaptive regression with multiple kernels. Computational Statistics, 2493-2515.

• Jaejoon Lee, Seongil Jo, and Jaeyong Lee. Robust sparse Bayesian infinite factor models. Computational Statistics, 37, 2693-2715.

• Kyoungjae Lee, Seongil Jo**, and Jaeyong Lee. The beta-mixture shrinkage prior for sparse covariances with posterior minimax rates. Journal of Multivariate Analysis, 192, 105067.

(2021)

• Kwangmin Lee, Seongil Jo, and Jaeyong Lee. Seroprevalence of SARS-CoV-2 antibodies in South Korea. Journal of the Korean Statistical Society, 50(3), 891-904.

• Seongil Jo, Seungwon Seo, Kwangwoo Jung, and Hyoungwoo Bai. Radiation response data analysis using Bayesian nonparametric regression models with shape-restriction. Journal of the Korean Data & Information Science Society, 32(6), 1295-1304.

• Weon Jang, Seongil Jo**, Ji Soo Song, Hong Pil Hwang, and Seong-Hun Kim. Comparison of diffusion-weighted imaging and MR elastography in staging liver fibrosis: a meta-analysis. Abdominal Radiology, 46, 3889-3907.

• Seongil Jo, Beomjo Park, Yeonseung Chung, Jeongseon Kim, Eunji Lee, Jangwon Lee, and Taeryon Choi. Bayesian semiparametric mixed effects models for meta-analysis of literature data : An application to cadmium toxicity studies. Statistics in Medicine, 40(16), 3762-3778.

• Sun Park, Seongil Jo*, and Woojoo Lee. A variational Bayes method for pharmacokinetic model. The Korean Journal of Applied Statistics, 34(1), 53-67.

• Seongil Jo, Myeongjee Lee, and Woojoo Lee. On the goodness-of-fit tests for gamma generalized linear models. Journal of the Korean Statistical Society, 50(1), 315-332.

(2020)

• Dasom Lee, Eunji Lee, Seongil Jo, and Taeryeon Choi. Bayesian ordinal probit semiparametric regression models : KNHANES 2016 data analysis of the relationship between smoking behavior and coffee intake. The Korean Journal of Applied Statistics, 33(1), 25-46.

(2019)

• Youngju Song, Hyosung Kwak, Gyungho Chung, Seongil Jo. Quantification of carotid intraplaque hemorrhage: comparison between manual segmentation and semi-automatic segmentation on magnetization-prepared rapid acquisition with gradient-echo sequences. Diagnostics, 9(4), 184.

• Seongil Jo, Taeryon Choi, Beomjo Park and Peter Lenk. bsamGP: An R package for Bayesian Spectral Analysis Models using Gaussian Process Priors. Journal of Statistical Software, 90(10), 1-40.

• Seongil Jo, Jeongseon Kim, and Woojoo Lee. An analysis pipeline for estimating true intake from repeated measurements with BLUP.  Communications in Statistics - Theory and Methods, 48(5), 1239-1254.

• Ajay Jasra, Seongil Jo, David Nott, Christine Shoemaker, and Raul Tempone. Multilevel Monte Carlo in Approximate Bayesian Computation. Stochastic Analysis and Applications, 37(3), 346-360.

• Seongil Jo and Sangin Lee. A comparison study of Bayesian ensemble model output statistics for seasonal forecasts of precipitation. Journal of the Korean Data & Information Science Society, 30(2), 385-399.

(2018)

• Youngin Jo, Seongil Jo, Jaeyong Lee, and Yungseop Lee. Bayesian temporal density estimation with autoregressive species sampling models. Journal of the Korean Statistical Society, 47(3), 248-262.

• Seongil Jo, Jeongseop Han and Woojoo Lee. Comparing the performance of likelihood ratio test and F-test for gamma generalized linear models. The Korean Journal of Applied Statistics, 31(4), 475-484.

• Seongil Jo and Jaeyong Lee. Invited discussion of "Nonparametric Bayesian inference in applications" by Mueller, Quintana, and Page. Statistical Methods and Applications, 27(2), 227-230.

(2017)

• Ju-Hee Nho, Yong Soon Kwon, and Seongil Jo. The impact of malnutrition on survival in patients with gynecologic cancer undergoing chemotherapy. Journal of Nutrition and Health, 50(6), 595-602.

• Victor Meng Hwee Ong, David Kwamena Mensah, Seongil Jo, David J. Nott, Beomjo Park and Taeryon Choi. A variational approach to Bayesian shape restricted regression with Gaussian process priors. Electronic Journal of Statistics, 11(2), 4258-4296.

• Seongil Jo*, Jaeyong Lee, Peter Mueller, Fernando A. Quintana, and Lorenzo Trippa. “Dependent Species Sampling Models for Spatial Density Estimation”. Bayesian Analysis, 12(2), 379-406. 

• Seongil Jo and Woojoo Lee. “Comparing the efficiency of dispersion parameters in gamma generalized linear models”. The Korean Journal of Applied Statistics, 30(1), 95-102. 

(2016)

• Taeryon Choi, Hae-Jung Kim, and Seongil Jo. “Bayesian variable selection approach to Bernstein polynomial regression model with stochastic constraint”. Journal of Applied Statistics, 43(15), 2751-2771. 

• Seongil Jo* and Jaeyong Lee. “Density estimation of summer extreme temperature over South Korea using conditional autoregressive species sampling models”. Journal of the Korean Data & Information Science Society, 27(5), 1155-1168. 

• Hang Lian, Taeryon Choi, Jie Meng, and Seongil Jo. “Posterior convergence for Bayesian functional linear regression”. Journal of Multivariate Statistics, 150, 27--41. 

• Seongil Jo, Gwangsu Kim, and Jongjune Jeon. “Bayesian analysis to detect abrupt changes in extreme hydrological processes”. Journal of Hydrology, 538, 63-79.

• Seongil Jo, Inhae Seok, and Taeryon Choi. “A nonparametric Bayesian seemingly unrelated regression model”. The Korean Journal of Applied Statistics, 29(4), 627-641 . 

• Seongil Jo, Taeyoung Noh, and Taeryon Choi. “Bayesian spectral analysis models for quantile regression with Dirichlet process mixtures”. Journal of Nonparametric Statistics, 28(1), 177-206. 

• Hae-Jung Kim, Taeryon Choi, and Seongil Jo. “Bayesian factor analysis with uncertain functional constraints about factor loadings”.  Journal of Multivariate Analysis, 144, 110-128. 

(2015)

• Seongil Jo, Jaeyong Lee, Garritt Page, Fernando Quintana, Lorenzo Trippa and Peter Müller. “Spatial Species Sampling and Product Partition Models”. in Nonparametric Bayesian Methods in Biostatistics and Bioinformatics, Mitra, R. and Müller, P. (eds), Springer-Verlag. 

• Seongil Jo, Hae Dong Woo, Ho-Jang Kwon, Se-Young Oh, Jung-Duck Park, Young-Seoub Hong, Heesoo Pyo, Kyung Su Park, Mina Ha, Ho Kim, Seok-Joon Sohn, Yu-Mi Kim, Ji-Ae Lim, Sang-Ah Lee, Sang- Yong Eom, Byoung-Gwon Kim, Kyoung-Mu Lee, Jong-Hyeon Lee, Myung Sil Hwang and Jeongseon Kim. Estimation of the biological half-life of methylmercury using a population toxicokinetic model. International Journal of Environmental Research and Public Health, 12(8), 9054-9067. 

• Hae Dong Woo, Weihsueh A. Chiu, Seongil Jo, and Jeongseon Kim. Benchmark dose for urinary cadmium based on a marker of renal dysfunction: a meta-analysis. PLoS One, 10(5), e0126680. 

• Hyotae Kim, Seongil Jo, and Taeryon Choi. Performance comparison of random number generators based on Adaptive Rejection Sampling. Journal of the Korean Data & Information Science Society, 26(3), 593-610. 

(2014)

• Taeyoung Roh, Seongil Jo*, and Ryounghwa Lee. A Comparison study of Bayesian Methods for the Treshold Autoregressive Model with Regime-Switching. The Korean Journal of Applied Statistics, 27(6), 1049-1068.

• Yaeji Lim, Seongil Jo, Jaeyong Lee, Hee-Seok Oh, Sang-Goo Lee, Yongtae Park and Hyun-Suk Kang. Multimodel Ensemble Forecasting of Rainfall over East Asia: Regularized Regression Approach. International Journal of Climatology, 34(14), 3270-3731. 

(2012)

• Seongil Jo, Yaeji Lim, Jaeyong Lee, Hee-Seok Oh, Hyun-Suk Kang. Bayesian Regression Model for Seasonal Forecast of Precipitation over Korea. Asia-Pacific Journal of Atmospheric Sciences, 48(3), 205-212. 

• Yaeji Lim, Seongil Jo, Jaeyong Lee, Hee-Seok Oh, Hyun-Suk Kang. Precipitation of east Asian summer precipitation via independent component analysis. Asia-Pacific Journal of Atmospheric Sciences, 48(2), 125-134. 

•  Yaeji Lim, Seongil Jo, Jaeyong Lee, Hee-Seok Oh, Hyun-Suk Kang. An improvement of seasonal climate prediction by regularized canonical correlation analysis. International Journal of Climatology, 32, 1503-1512. 

(2009)

• Yaeji Lim, Seongil Jo, Jaeyong Lee, Hee-Seok Oh, Hyun-Suk Kang. Climate prediction by a hybrid method with emphasizing future precipitation change of east Asia. The Korean Journal of Applied Statistics., 22(6), 1143-1152.