1 citations · 1 across the 3 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2026
Robust Joint Modeling for Data with Continuous and Binary Responses
Yu Wang, Ran Jin, Lulu Kang
In many supervised learning applications, the response consists of both continuous and binary outcomes. Studies have shown that jointly modeling such mixed-type responses can subst…
stat.ME2024
Energetic Variational Gaussian Process Regression for Computer Experiments
Lulu Kang, Yuanxing Cheng, Yiwei Wang +1
The Gaussian process (GP) regression model is a widely employed surrogate modeling technique for computer experiments, offering precise predictions and statistical inference for th…