2 citations · 4 across the 8 of their papers we have counts for
8 papers
EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors
Qian Xiao, Abhyuday Mandal, C. Devon Lin +1
Computer experiments with both quantitative and qualitative (QQ) inputs are commonly used in science and engineering applications. Constructing desirable emulators for such compute…
Construction of Marginally Coupled Designs by Subspace Theory
Yuanzhen He, C. Devon Lin, Fasheng SUn
Recent researches on designs for computer experiments with both qualitative and quantitative factors have advocated the use of marginally coupled designs. This paper proposes a gen…
A New and Flexible Design Construction for Orthogonal Arrays for Modern Applications
Yuanzhen He, C. Devon Lin, Fasheng Sun
Orthogonal array, a classical and effective tool for collecting data, has been flourished with its applications in modern computer experiments and engineering statistics. Driven by…
Latin Hypercubes and Space-filling Designs
C. Devon Lin, Boxin Tang
This chapter discusses a general design approach to planning computer experiments, which seeks design points that fill a bounded design region as uniformly as possible. Such design…
Efficient Experimental Design for Regularized Linear Models
C. Devon Lin, Peter Chien, Xinwei Deng
Regularized linear models, such as Lasso, have attracted great attention in statistical learning and data science. However, there is sporadic work on constructing efficient data co…
Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization
Xia Cai, Li Xu, C. Devon Lin +2
Computer experiments with both qualitative and quantitative factors are widely used in many applications. Motivated by the emerging need of optimal configuration in the high-perfor…