Outputs

Papers under review 

• Sangkon Oh and Geoffrey J. McLachlan*.  Differential gene expression analysis via two-component mixture models with a semiparametric skew-normal scale mixture alternative. (under review)

• Sangkon Oh, Victor H. Lachos and Byungtae Seo*.  Semiparametric robust mixture of experts based on nonparametric maximum likelihood. (under review)

• Junho Ahn, Byungji Choi and Sangkon Oh*.  Penalized finite-mixture accelerated failure-time modeling of censored business-duration data. (under review)

• Jeonghun Lee, Jeseong Lee, Seryeong An and Sangkon Oh*.  Transit-card-based latent mobility patterns from Bujeon Station and destination-district functions. (under review)

Conference

• Differential gene expression via local false discovery rate with nonparametric maximum likelihood, EcoSta, 2026 (Kyoto, Japan)

• Robust mixture of experts via semiparametric maximum likelihood framework, KSS, 2026 (Kyeongju, Korea)

• Robust regression with a nonparametric maximum likelihood approach for skew-normal scale mixtures, EcoSta, 2025 (Tokyo, Japan)

• Regression clustering with semiparametric mixtures, KDISS, 2025 (Kwangju, South Korea)

• Robust mixture of regressions with nonparametric symmetric errors, IMS-APRM, 2024 (Melbourne, Australia) 

• Merged linear Gaussian cluster-weighted models: An interpretable machine learning model, CMStatistics, 2022 (London, UK)