Space-filling designs are commonly used in computer experiments to fill ...
A central problem of materials science is to determine whether a hypothe...
In an era where scientific experimentation is often costly, multi-fideli...
It is common to split a dataset into training and testing sets before fi...
In this work, we develop a method named Twinning, for partitioning a dat...
Space-filling designs are important in computer experiments, which are
c...
Monte Carlo methods are widely used for approximating complicated,
multi...
In this article we propose an optimal method referred to as SPlit for
sp...
A computer model can be used for predicting an output only after specify...
A key objective in engineering problems is to predict an unknown experim...
3D-printed medical phantoms, which use synthetic metamaterials to mimic
...
To identify the robust settings of the control factors, it is very impor...
Markov chain Monte Carlo (MCMC) methods require a large number of sample...