8 citations · 17 across the 4 of their papers we have counts for
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stat.ME2023★ 8 cited
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…
stat.ME2018
Composite Inference for Gaussian Processes
Yongxiang Li, Qiang Zhou, Kwok Leung Tsui +1
Large-scale Gaussian process models are becoming increasingly important and widely used in many areas, such as, computer experiments, stochastic optimization via simulation, and ma…