Y. Jang, Y. Chang,, J. Park, S. Jeon, B. Seo, J. Park, J. Kang, R. Kwon, G. Lim, K. Kim, H. Kim,Y,. Hong, J. Park, D. Zhao, J. Cho, E. Guallar, S. Ryu (2025) “Longitudinal patterns and group heterogeneity of depressive symptoms
during menopausal transition in middle-aged Korean women” Epidemiology and Psychiatric Sciences 34, e57

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​Y. Jang, Y. Chang,, J. Lee, B. Seo, Y. Cho, M. Kim, J. H. Park, J. Kang, R. Kwon, G. Lim, K. Kim, H. Kim, Y. S. Hong, J. Park, D. Zha, J. Cho, E. Guallar, S. Ryu (2025) “Hearing changes and trajectories during the menopausal transition and their association with metabolic factors” Maturitas, Article number: 108686

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Y. Jang, Y. Chang,, S. W. Jeon, J. Park, B. Seo, J. Kang, R. Kwon, G. Lim, K. Kim, H. Kim, Y. S. Hong, J. Park, D. Zhao, J. Cho, E. Guallar, S. Ryu (2025) “Menopausal stage transitions and associations with overall and domain-specific perceived stress in middle-aged Korean women” Maturitas, Article number: 108660

S.-Y. Park, B. Seo (2025) “Penalized maximum likelihood estimation with nonparametric Gaussian scale mixture errors” Computational Statistics and Data Analysis, Article number: 108206

Y. Hwang, B. Seo, S. Oh (2025) “Mixture of partially linear experts”, Stat, 14(2), e70062

B. Seo, S. Oh (2024) “Adaptive learning in robust linear regression with a semiparametric skew-normal scale mixture distribution”, Stat, 13(4), e70026

H. Lee, B. Seo (2024) “Finte Mixture of Semiparametric Multivariate Skewnormal Distributions” Communications in Statistics - Simulation and Computation, 53(11), 5659—5679

B. Seo, I. D. Ha (2024) “Semiparametric accelerated failure time models under unspecified random effect distributions” Computational Statistics and Data Analysis, Article number: 107958

S. Oh, B. Seo (2024) “Semiparametric Mixture of Linear Regressions with Nonparametric Gaussian Scale Mixture Errors”, Advances in Data Analysis and Classification, 18(1), 5–31

S. Oh, B. Seo (2023) “Merging Components in Linear Gaussian ClusterWeighted Models” Journal of Classification, 40(1), 25–51

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S. Paik, S. Oh, B. Seo (2023) “Parsimonious cluster-weighted models using multivariate skew normal distribution” written in Korean, Journal of the Korean Data and Information Science Society, 34(2), 229–245

B. Seo, S. Kang (2023) “Accelerated failure time modeling via nonparametric mixtures” Biometrics, 79(1), 165–177

S.-Y. Park, S. Kim, B. Seo (2022) “Penalized maximum likelihood estimation with log-concave errors” Communications for Statistical Applications and Methods, 29(6), 641–653

C.-S. Chee, B. Seo (2022) “Density deconvolution under a k-monotonicity constraint” Statistics and Computing, 21, Article number: 93

M. Sung, B. Seo, H. Seo (2022) “Social issues analysis of COVID-19 and disaster safety for children: Focusing on YouTube video comments” written in Korean, Journal of Korean Council for Children & Rights, 26(1), 115–131

S. Lee, B. Seo (2021) “Omnibus goodness of fit test based on quadratic distance” Journal of Statistical Computation and Simulation, 91(18), 3771–3791

C.-S. Chee, I. D. Ha, B. Seo, Y. Lee (2021) “Semiparametric estimation for nonparametric frailty models using nonparametric maximum likelihood approach” Statistical Methods in Medical Research, 30(11), 2485—2502

S. Kim, B. Seo (2021) “Modal linear regression using log-concave distributions” Journal of the Korean Statistical Society, 50(2), 479—494

M. Sung, M. Noh, B. Seo, K. Kim (2021) “Social perception analysis of disaster safety information for children using text mining techniques” written in Korean, Journal of Korean Council for Children & Rights, 25(2), 167–185

M. Sung, B. Seo, M. Choi, M. Noh (2021) “Topic Analysis of COVID-19 and Childcare Center Closures Using Text Mining Technique” written in Korean, Korean Journal of Childcare & Education, 21(1), 67–80

C.-S. Chee, B. Seo (2020) “Semiparametric estimation for linear regression with symmetric errors” Computational Statistics and Data Analysis, 152, 107053

K. Kim, M. Sung, B. Seo (2020) “Latent transition model for mixed variables with applications to youth’s study habits and academic achievement” written in Korean, Journal of the Korean Data and Information Science Society, 31(3) 649– 662

H. Shin, B. Seo (2019) “Latent class model for mixed variables with applications to text data” written in Korean, Korean Journal of Applied Statistics, 32(6), 837–849

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S. Kim, B. Seo (2018) “Variable selection for latent class analysis using clustering efficiency” written in Korean, Korean Journal of Applied Statistics, 31(6), 721–732

S. Kim, B. Seo (2018) “Linear regression under log-concave and Gaussian scale mixture errors: Comparative study” Communications for Statistical Applications and Methods, 25(6) 633–645

D. Jung, B. Seo (2017) “Semiparametric mixture of experts with unspecified gate network” Journal of the Korean Data and Information Science Society, 28(3) 685–695

B. Seo (2017) “The doubly smoothed maximum likelihood estimation for location-shifted semiparametric mixtures” Computational Statistics and Data Analysis, 108, 27–39

B. Seo, J. Noh, T. Lee, Y. Yoon (2017) “Adaptive robust regression with continuous Gaussian scale mixture errors” Journal of the Korean Statistical Society, 46(1), 113–125

M. Sung, Y. Chang, B. Seo (2016) “The roles of study habits and emotionalbehavioral problems in predicting school adjustment classification among third graders” written in Korean, Korean Journal of Childcare and Education, 12(6), 79–102

H. Kim, G. Ham, B. Seo (2016) “The EM algorithm for mixture regression with missing covaraites” written in Korean, Korean Journal of Applied Statistics, 29(7) 1347–1359

S. Xiang, W. Yao, B. Seo (2016) “Semiparametric mixture: continuous scale mixture approach” Computational Statistics and Data Analysis, 103, 413–425

B. Seo, S. Jeong (2016) “Semiparametric maximum likelihood estimation of stochastic frontier model with errors-in-variables” Journal of the Korean Statistical Society, 45, 199–209

M. Zhu, B. Son, B. Seo (2015) “Family Strategy of Economic Inequality among Brothers in Korean Rural Society, 1690-1795” The History of the Family, 20(2), 291–307

B. Seo, T. Lee (2015) “A new algorithm for maximum likelihood estimation in normal scale-mixture GARCH models” Journal of Statistical Computation and Simulation, 85(1), 202–215

D. Kim, B. Seo (2014) “Assessment of the number of components in Gaussian mixture models in the presence of multiple local maximizers” Journal of Multivariate Analysis, 125, 100–120

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B. Seo, B. G. Lindsay (2013) “Nearly universal consistency of maximum likelihood in discrete models” Statistics and Probability Letters, 83(7), 1699–1702

B. Seo, B. G. Lindsay (2013) “A universally consistent modification of maximum likelihood” Statistica Sinica, 23(2), 467–487

B. Seo, D. Kim (2012) “Root selection in normal mixture models” Computational Statistics and Data Analysis, 56(8), 2454–2470

H. Jung, B. Seo (2012) “A fast EM algorithm for Gaussian mixtures” Communications for Statistical Applications and Methods, 19(1), 157–168

B. Seo (2012) “An EM algorithm for the doubly smoothed MLE in normal mixture models” Communications for Statistical Applications and Methods, 19(1), 135–145

B. Seo (2011) “A gradient-based algorithm for semiparametric models with missing covariates”. Journal of Statistical Computation and Simulation, 81(4), 381-390

H. Jung, J. L. Schafer, B. Seo (2011) “A latent class selection model for nonignorably missing data”, Computational Statistics and Data Analysis, 55(1), 802–812

B. Seo, B. G. Lindsay (2010) “A computational strategy for doubly smoothed MLE exemplified in the normal mixture model” Computational Statistics and Data Analysis, 54(8), 1930–1941

Z. D. Mulla, B. Seo, R. Kalamegham, B. S. Nuwayhid (2009) “Multiple imputation for missing laboratory data: An example from infectious disease epidemiology”. Annals of Epidemiology, 19(12), 908–914

B. Seo (2009) “An almost nonparametric model for missing covariates in parametric regression” International Journal of Intelligent Technology and Applied Statistics, 2(2), 135–144