Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Framework for Controlling Sources of Inaccuracy in Gaussian Process
  Emulation of Deterministic Computer Experiments   Computer experiments have become ubiquitous in science and engineering.
Commonly, runs of these simulations demand considerable time and computing,
making experimental design extremely important in gaining high quality
information with limited time and resources. Principles of experimental design
are proposed and justified which ensure high nominal, numeric, and parameter
estimation accuracy for Gaussian process emulation of deterministic
simulations. The space-filling properties "small fill distance" and "large
separation distance" are only weakly conflicting and ensure well-controlled
nominal, numeric, and parameter estimation error, while non-stationarity
requires a greater density of experimental inputs in regions of the input space
with more quickly decaying correlation. This work will provide scientists and
engineers with robust, rigorously justified, and practically useful overarching
principles for selecting combinations of simulation inputs with high
information content.

26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
1
The categories of this paper are: cs
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph