38 citations · 87 across the 35 of their papers we have counts for
6 papers · 1 filter
Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs
V. Roshan Joseph, Dianpeng Wang, Li Gu +2
Markov chain Monte Carlo (MCMC) methods require a large number of samples to approximate a posterior distribution, which can be costly when the likelihood or prior is expensive to…
On Prediction Properties of Kriging: Uniform Error Bounds and Robustness
Wenjia Wang, Rui Tuo, C. F. Jeff Wu
Kriging based on Gaussian random fields is widely used in reconstructing unknown functions. The kriging method has pointwise predictive distributions which are computationally simp…
Adjustments to Computer Models via Projected Kernel Calibration
Rui Tuo
Identification of model parameters in computer simulations is an important topic in computer experiments. We propose a new method, called the projected kernel calibration method, t…
Prediction based on the Kennedy-O'Hagan calibration model: asymptotic consistency and other properties
Rui Tuo, C. F. Jeff Wu
Kennedy and O'Hagan (2001) propose a model for calibrating some unknown parameters in a computer model and estimating the discrepancy between the computer output and physical respo…
A finite element method for elliptic problems with observational boundary data
Zhiming Chen, Rui Tuo, Wenlong Zhang
In this paper we propose a finite element method for solving elliptic equations with the observational Dirichlet boundary data which may subject to random noises. The method is bas…
Stochastic Convergence of A Nonconforming Finite Element Method for the Thin Plate Spline Smoother for Observational Data
Zhiming Chen, Rui Tuo, Wenlong Zhang
The thin plate spline smoother is a classical model for fnding a smooth function from the knowledge of its observation at scattered locations which may have random noises. We consi…