Error estimation properties of Gaussian process models in stochastic simulations
From MaRDI portal
Publication:257244
DOI10.1016/j.ejor.2012.12.033zbMath1332.62242OpenAlexW2046404822MaRDI QIDQ257244
Andres F. Hernandez, Martha A. Grover
Publication date: 15 March 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2012.12.033
Related Items (2)
Efficient VaR and CVaR Measurement via Stochastic Kriging ⋮ Multivariate versus univariate Kriging metamodels for multi-response simulation models
Cites Work
- Unnamed Item
- Unnamed Item
- Constrained optimization in expensive simulation: novel approach
- The design and analysis of computer experiments.
- Robustness of kriging when interpolating in random simulation with heterogeneous variances: some experiments
- Customized sequential designs for random simulation experiments: Kriging metamodeling and bootstrapping
- Stochastic Kriging for Simulation Metamodeling
- Kriging for interpolation in random simulation
- The correct Kriging variance estimated by bootstrapping
- Best Linear Unbiased Prediction in the Generalized Linear Regression Model
This page was built for publication: Error estimation properties of Gaussian process models in stochastic simulations