Zobrazeno 1 - 10
of 40 735
pro vyhledávání: '"computer experiments"'
Computer models are used as a way to explore complex physical systems. Stationary Gaussian process emulators, with their accompanying uncertainty quantification, are popular surrogates for computer models. However, many computer models are not well r
Externí odkaz:
http://arxiv.org/abs/2411.14690
Identifying the active factors that have significant impacts on the output of the complex system is an important but challenging variable selection problem in computer experiments. In this paper, a Bayesian hierarchical Gaussian process model is deve
Externí odkaz:
http://arxiv.org/abs/2406.11306
Autor:
Chen, Gecheng, Tuo, Rui
This work focuses on the design of experiments of multi-fidelity computer experiments. We consider the autoregressive Gaussian process model proposed by Kennedy and O'Hagan (2000) and the optimal nested design that maximizes the prediction accuracy s
Externí odkaz:
http://arxiv.org/abs/2405.20644
The Gaussian process (GP) regression model is a widely employed surrogate modeling technique for computer experiments, offering precise predictions and statistical inference for the computer simulators that generate experimental data. Estimation and
Externí odkaz:
http://arxiv.org/abs/2401.00395
Dimensional analysis (DA) pays attention to fundamental physical dimensions such as length and mass when modelling scientific and engineering systems. It goes back at least a century to Buckingham's Pi theorem, which characterizes a scientifically me
Externí odkaz:
http://arxiv.org/abs/2312.10100