48 citations · 106 across the 11 of their papers we have counts for
17 papers
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…
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks
Mohammadreza Armandpour, Brian Kidd, Yu Du +1
In this paper, we study the problem of blood glucose forecasting and provide a deep personalized solution. Predicting blood glucose level in people with diabetes has significant va…
Asymptotic Properties of Penalized Spline Estimators in Concave Extended Linear Models: Rates of Convergence
Jianhua Z. Huang, Ya Su
This paper develops a general theory on rates of convergence of penalized spline estimators for function estimation when the likelihood functional is concave in candidate functions…
Simultaneous inference of periods and period-luminosity relations for Mira variable stars
Shiyuan He, Zhenfeng Lin, Wenlong Yuan +2
The Period--Luminosity relation (PLR) of Mira variable stars is an important tool to determine astronomical distances. The common approach of estimating the PLR is a two-step proce…