289 citations · 755 across the 23 of their papers we have counts for
6 papers · 1 filter
Sampling-Based Batch Sequential Design by Stein Variational Gradient Descent
Penghui Fu, Xiaoxian Ding, Chunlin Ji +2
Many real-world experimental design problems require a batch of experimental runs across stages, in which multiple points are selected and evaluated at each stage. However, most wo…
Nearest-Neighbor Non-Gaussian Processes for Geostatistical Modeling
Penghui Fu, Yuhan Dong, Jianhua Z. Huang
We develop a general class of nearest-neighbor non-Gaussian processes (NNnGP) for modeling geostatistical data. By introducing non-linear conditional mean functions into the Vecchi…
A Reproducing Kernel Hilbert Space Approach to Functional Calibration of Computer Models
Rui Tuo, Shiyuan He, Arash Pourhabib +2
This paper develops a frequentist solution to the functional calibration problem, where the value of a calibration parameter in a computer model is allowed to vary with the value o…
Functional PCA with Covariate Dependent Mean and Covariance Structure
Fei Ding, Shiyuan He, David E. Jones +1
Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive perfo…
Adaptive Basis Selection for Exponential Family Smoothing Splines with Application in Joint Modeling of Multiple Sequencing Samples
Ping Ma, Nan Zhang, Jianhua Z. Huang +1
Second-generation sequencing technologies have replaced array-based technologies and become the default method for genomics and epigenomics analysis. Second-generation sequencing t…
A Study of Functional Depths
James P. Long, Jianhua Z. Huang
Functional depth is used for ranking functional observations from most outlying to most typical. The ranks produced by functional depth have been proposed as the basis for function…