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Byungtae Seo
2020 – today
- 2024
- [j12]Sangkon Oh, Byungtae Seo:
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors. Adv. Data Anal. Classif. 18(1): 5-31 (2024) - [j11]Byungtae Seo, Il-Do Ha:
Semiparametric accelerated failure time models under unspecified random effect distributions. Comput. Stat. Data Anal. 195: 107958 (2024) - [j10]Hyunjae Lee, Byungtae Seo:
Finite mixture of semiparametric multivariate skew-normal distributions. Commun. Stat. Simul. Comput. 53(11): 5659-5679 (2024) - 2023
- [j9]Sangkon Oh, Byungtae Seo:
Merging Components in Linear Gaussian Cluster-Weighted Models. J. Classif. 40(1): 25-51 (2023) - 2022
- [j8]Chew-Seng Chee, Byungtae Seo:
Density deconvolution under a k-monotonicity constraint. Stat. Comput. 32(5): 93 (2022) - 2020
- [j7]Chew-Seng Chee, Byungtae Seo:
Semiparametric estimation for linear regression with symmetric errors. Comput. Stat. Data Anal. 152: 107053 (2020)
2010 – 2019
- 2017
- [j6]Byungtae Seo:
The doubly smoothed maximum likelihood estimation for location-shifted semiparametric mixtures. Comput. Stat. Data Anal. 108: 27-39 (2017) - 2016
- [j5]Sijia Xiang, Weixin Yao, Byungtae Seo:
Semiparametric mixture: Continuous scale mixture approach. Comput. Stat. Data Anal. 103: 413-425 (2016) - 2014
- [j4]Daeyoung Kim, Byungtae Seo:
Assessment of the number of components in Gaussian mixture models in the presence of multiple local maximizers. J. Multivar. Anal. 125: 100-120 (2014) - 2012
- [j3]Byungtae Seo, Daeyoung Kim:
Root selection in normal mixture models. Comput. Stat. Data Anal. 56(8): 2454-2470 (2012) - 2011
- [j2]Hyekyung Jung, Joseph L. Schafer, Byungtae Seo:
A latent class selection model for nonignorably missing data. Comput. Stat. Data Anal. 55(1): 802-812 (2011) - 2010
- [j1]Byungtae Seo, Bruce G. Lindsay:
A computational strategy for doubly smoothed MLE exemplified in the normal mixture model. Comput. Stat. Data Anal. 54(8): 1930-1941 (2010)
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