Pages that link to "Item:Q4635183"
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The following pages link to The effects of common random numbers on stochastic kriging metamodels (Q4635183):
Displaying 21 items.
- Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation (Q1683081) (← links)
- Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise (Q1753578) (← links)
- A multiobjective stochastic simulation optimization algorithm (Q2301958) (← links)
- A general purpose module using refined descriptive sampling for installation in simulation systems (Q2354743) (← links)
- Multivariate versus univariate Kriging metamodels for multi-response simulation models (Q2356270) (← links)
- Stochastic ceteris paribus simulations (Q2476607) (← links)
- Robust optimization in simulation: Taguchi and Krige combined (Q2815461) (← links)
- Efficient VaR and CVaR Measurement via Stochastic Kriging (Q2960358) (← links)
- Quantifying Input Uncertainty via Simulation Confidence Intervals (Q2967615) (← links)
- Estimating the Probability that a Function Observed with Noise Is Convex (Q3386772) (← links)
- Bayesian Optimization Allowing for Common Random Numbers (Q5060516) (← links)
- Generalized Integrated Brownian Fields for Simulation Metamodeling (Q5126638) (← links)
- Faster Kriging: Facing High-Dimensional Simulators (Q5130493) (← links)
- Some Monotonicity Results for Stochastic Kriging Metamodels in Sequential Settings (Q5131725) (← links)
- Stochastic kriging with biased sample estimates (Q5176918) (← links)
- Gradient Extrapolated Stochastic Kriging (Q5270723) (← links)
- Calibration, Validation, and Prediction in Random Simulation Models (Q5270741) (← links)
- Enhancing Stochastic Kriging Metamodels with Gradient Estimators (Q5301144) (← links)
- Bayesian Optimization via Simulation with Pairwise Sampling and Correlated Prior Beliefs (Q5740229) (← links)
- Sparse polynomial chaos expansion for universal stochastic kriging (Q6556730) (← links)
- Enhancing response predictions with a joint Gaussian process model for stochastic simulation models (Q6600076) (← links)
