66 citations · 121 across the 9 of their papers we have counts for
9 papers
Grouped Orthogonal Arrays and Their Applications
Guangzhou Chen, Yuanzhen He, C. Devon Lin +1
In computer experiments, it has become a standard practice to select the inputs that spread out as uniformly as possible over the design space. The resulting designs are called spa…
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models
Jiaqing Zhu, Lin Wang, Fasheng Sun
Hierarchical data analysis is crucial in various fields for making discoveries. The linear mixed model is often used for training hierarchical data, but its parameter estimation is…
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…
Spatial-Sign based High-Dimensional Location Test
Long Feng, Fasheng Sun
In this paper, we consider the problem of testing the mean vector in the high dimensional settings. We proposed a new robust scalar transform invariant test based on spatial sign.…
A Note on High Dimensional Two Sample Mean Test
Long Feng, Fasheng Sun
In this paper, we propose a new scalar and shift transform invariant test statistic for the high-dimensional two-sample location test. The expectation of our test is exactly zero u…