Byungtae Seo

发表

A UNIVERSALLY CONSISTENT MODIFICATION OF MAXIMUM LIKELIHOOD

B. Lindsay, Byungtae Seo, 2013 .

Semiparametric maximum likelihood estimation of stochastic frontier model with errors-in-variables

Byungtae Seo, Seok-Oh Jeong, 2016 .

DOUBLY-SMOOTHED MAXIMUM LIKELIHOOD

Byungtae Seo, 2007 .

Nearly universal consistency of maximum likelihood in discrete models

Bruce G. Lindsay, Byungtae Seo, B. Lindsay, 2013 .

Adaptive robust regression with continuous Gaussian scale mixture errors

Byungtae Seo, Y. Yoon, Taewook Lee, 2017 .

An EM Algorithm for a Doubly Smoothed MLE in Normal Mixture Models

Byungtae Seo, 2012 .

An EM Algorithm for a Doubly Smoothed MLE in Normal Mixture Models

Byungtae Seo, 2012 .

Density deconvolution under a k-monotonicity constraint

Byungtae Seo, Chew-Seng Chee, 2022, Statistics and Computing.

Density deconvolution under a k-monotonicity constraint

Byungtae Seo, Chew-Seng Chee, 2022, Statistics and Computing.

Merging Components in Linear Gaussian Cluster-Weighted Models

Byungtae Seo, Sangkon Oh, 2022, Journal of Classification.

A latent class selection model for nonignorably missing data

Hyekyung Jung, Joseph L. Schafer, Byungtae Seo, 2011, Comput. Stat. Data Anal..

Semiparametric estimation for nonparametric frailty models using nonparametric maximum likelihood approach

Youngjo Lee, Il Do Ha, Byungtae Seo, 2021, Statistical methods in medical research.

Accelerated failure time modeling via nonparametric mixtures

Byungtae Seo, Sangwook Kang, 2021, Biometrics.

Linear regression under log-concave and Gaussian scale mixture errors: comparative study

Byungtae Seo, Sunyul Kim, 2018, Communications for Statistical Applications and Methods.

Semiparametric mixture: Continuous scale mixture approach

Weixin Yao, Sijia Xiang, Byungtae Seo, 2016, Comput. Stat. Data Anal..

A new algorithm for maximum likelihood estimation in normal scale-mixture generalized autoregressive conditional heteroskedastic models

Byungtae Seo, Taewook Lee, 2015 .

A gradient-based algorithm for semiparametric models with missing covariates

Byungtae Seo, 2011 .

Assessment of the number of components in Gaussian mixture models in the presence of multiple local maximizers

Daeyoung Kim, Byungtae Seo, Byungtae Seo, 2014, J. Multivar. Anal..

Root selection in normal mixture models

Daeyoung Kim, Byungtae Seo, Byungtae Seo, 2012, Comput. Stat. Data Anal..

Multiple imputation for missing laboratory data: an example from infectious disease epidemiology.

Byungtae Seo, B. Nuwayhid, Z. Mulla, 2009, Annals of epidemiology.

Finite mixture of semiparametric multivariate skew-normal distributions

Byungtae Seo, Hyunjae Lee, 2023, Communications in Statistics - Simulation and Computation.

Semiparametric estimation for linear regression with symmetric errors

Byungtae Seo, Chew-Seng Chee, Byungtae Seo, 2020, Comput. Stat. Data Anal..

Modal linear regression using log-concave distributions

Byungtae Seo, Sunyul Kim, 2020, Journal of the Korean Statistical Society.