4 papers · 1 filter
A general framework for modeling Gaussian process with qualitative and quantitative factors
Linsui Deng, C. F. Jeff Wu
Computer experiments involving both qualitative and quantitative (QQ) factors have attracted increasing attention. Gaussian process (GP) models have proven effective in this contex…
Joint Mirror Procedure: Controlling False Discovery Rate for Identifying Simultaneous Signals
Linsui Deng, Kejun He, Xianyang Zhang
In many applications, the process of identifying a specific feature of interest often involves testing multiple hypotheses for their joint statistical significance. Examples includ…
Powerful Spatial Multiple Testing via Borrowing Neighboring Information
Linsui Deng, Kejun He, Xianyang Zhang
Clustered effects are often encountered in multiple hypothesis testing of spatial signals. In this paper, we propose a new method, termed \textit{two-dimensional spatial multiple t…
Model-Free, Monotone Invariant and Computationally Efficient Feature Screening with Data-adaptive Threshold
Linsui Deng, Yilin Zhang
Feature screening for ultrahigh-dimension, in general, proceeds with two essential steps. The first step is measuring and ranking the marginal dependence between response and covar…