A computational strategy for doubly smoothed MLE exemplified in the normal mixture model. - Byungtae Seo; Bruce G. Lindsay 002 (Comput. Stat. Data Anal., 2010)

A latent class selection model for nonignorably missing data. - Hyekyung Jung; Joseph L. Schafer; Byungtae Seo (Comput. Stat. Data Anal., 2011)

Root selection in normal mixture models. - Byungtae Seo; Daeyoung Kim 003 (Comput. Stat. Data Anal., 2012)

Assessment of the number of components in Gaussian mixture models in the presence of multiple local maximizers. - Daeyoung Kim 003; Byungtae Seo (J. Multivar. Anal., 2014)

Semiparametric mixture: Continuous scale mixture approach. - Sijia Xiang; Weixin Yao; Byungtae Seo (Comput. Stat. Data Anal., 2016)

The doubly smoothed maximum likelihood estimation for location-shifted semiparametric mixtures. - Byungtae Seo (Comput. Stat. Data Anal., 2017)

Semiparametric estimation for linear regression with symmetric errors. - Chew-Seng Chee; Byungtae Seo (Comput. Stat. Data Anal., 2020)

Density deconvolution under a k-monotonicity constraint. - Chew-Seng Chee; Byungtae Seo (Stat. Comput., 2022)

Merging Components in Linear Gaussian Cluster-Weighted Models. - Sangkon Oh; Byungtae Seo (J. Classif., 2023)

Semiparametric accelerated failure time models under unspecified random effect distributions. - Byungtae Seo; Il-Do Ha (Comput. Stat. Data Anal., 2024)

Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors. - Sangkon Oh; Byungtae Seo (Adv. Data Anal. Classif., 2024)

Finite mixture of semiparametric multivariate skew-normal distributions. - Hyunjae Lee; Byungtae Seo (Commun. Stat. Simul. Comput., 2024)

Penalized maximum likelihood estimation with nonparametric Gaussian scale mixture errors. - Seoyoung Park; Byungtae Seo (Comput. Stat. Data Anal., 2025)