15 citations · 26 across the 4 of their papers we have counts for
4 papers
A Scalable Gaussian Process for Large-Scale Periodic Data
Yongxiang Li, Yuting Pu, Changming Cheng +1
The periodic Gaussian process (PGP) has been increasingly used to model periodic data due to its high accuracy. Yet, computing the likelihood of PGP has a high computational comple…
Modeling and Active Learning for Experiments with Quantitative-Sequence Factors
Qian Xiao, Yaping Wang, Abhyuday Mandal +1
A new type of experiment that aims to determine the optimal quantities of a sequence of factors is eliciting considerable attention in medical science, bioengineering, and many oth…
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…
Statistical Analysis of Complex Computer Models in Astronomy
Joshua Lukemire, Qian Xiao, Abhyuday Mandal +1
We introduce statistical techniques required to handle complex computer models with potential applications to astronomy. Computer experiments play a critical role in almost all fie…