3 papers
stat.ME2026
Semiparametric robust mixture of experts based on nonparametric maximum likelihood
Sangkon Oh, Victor H. Lachos, Byungtae Seo
The mixture of experts (MoE) model provides a flexible approach for modeling heterogeneous regression relationships by allowing covariate-dependent mixing through a gating network,…
stat.ME2024
Mixture of partially linear experts
Yeongsan Hwang, Byungtae Seo, Sangkon Oh
In the mixture of experts model, a common assumption is the linearity between a response variable and covariates. While this assumption has theoretical and computational benefits,…
stat.ME2024
Adaptive Accelerated Failure Time modeling with a Semiparametric Skewed Error Distribution
Sangkon Oh, Hyunjae Lee, Sangwook Kang +1
The accelerated failure time (AFT) model is widely used to analyze relationships between variables in the presence of censored observations. However, this model relies on some assu…