Pages that link to "Item:Q3100474"
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The following pages link to Stochastic Kriging for Simulation Metamodeling (Q3100474):
Displaying 50 items.
- Comparison of Gaussian process modeling software (Q65764) (← links)
- Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments (Q139887) (← links)
- Error estimation properties of Gaussian process models in stochastic simulations (Q257244) (← links)
- A method for the updating of stochastic Kriging metamodels (Q320105) (← links)
- Switching regression metamodels in stochastic simulation (Q322641) (← links)
- Stochastic resource allocation using a predictor-based heuristic for optimization via simulation (Q336991) (← links)
- Denoising Monte Carlo sensitivity estimates (Q439916) (← links)
- Expected improvement in efficient global optimization through bootstrapped Kriging (Q445325) (← links)
- Cases for the nugget in modeling computer experiments (Q693296) (← links)
- Global sensitivity analysis of stochastic computer models with joint metamodels (Q693316) (← links)
- Prediction of non-stationary response functions using a Bayesian composite Gaussian process (Q829711) (← links)
- Stochastic natural frequency of composite conical shells (Q889758) (← links)
- Exact optimal designs for computer experiments via kriging metamodelling (Q974509) (← links)
- Kriging metamodeling in simulation: a review (Q1011208) (← links)
- Constrained optimization in expensive simulation: novel approach (Q1038394) (← links)
- Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: a dengue case study (Q1647581) (← links)
- Surrogate-based feasibility analysis for black-box stochastic simulations with heteroscedastic noise (Q1668809) (← links)
- Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation (Q1683081) (← links)
- Multi-fidelity meta-modeling for reservoir engineering - application to history matching (Q1693744) (← links)
- A unified framework for stochastic optimization (Q1719609) (← links)
- Uncertainty quantification of stochastic simulation for black-box computer experiments (Q1739334) (← links)
- A new loss function for multi-response optimization with model parameter uncertainty and implementation errors (Q1751673) (← links)
- Regression and Kriging metamodels with their experimental designs in simulation: a review (Q1752155) (← links)
- Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise (Q1753578) (← links)
- Simulation-based transfer function modeling for transient analysis of general queueing systems (Q1927001) (← links)
- Composite Gaussian process models for emulating expensive functions (Q1940022) (← links)
- Simultaneous Kriging-based estimation and optimization of mean response (Q1941025) (← links)
- pBO-2GP-3B: a batch parallel known/unknown constrained Bayesian optimization with feasibility classification and its applications in computational fluid dynamics (Q1987855) (← links)
- Metamodeling of aircraft infrared signature dispersion (Q2006889) (← links)
- Stochastic optimization with adaptive restart: a framework for integrated local and global learning (Q2022223) (← links)
- An extended two-stage sequential optimization approach: properties and performance (Q2023982) (← links)
- Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations (Q2057377) (← links)
- Locally induced Gaussian processes for large-scale simulation experiments (Q2058747) (← links)
- Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation (Q2058770) (← links)
- On the inference of applying Gaussian process modeling to a deterministic function (Q2074282) (← links)
- Analyzing stochastic computer models: a review with opportunities (Q2075795) (← links)
- Generalized polynomial chaos-informed efficient stochastic kriging (Q2133029) (← links)
- Adaptive design for Gaussian process regression under censoring (Q2154177) (← links)
- Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation (Q2154181) (← links)
- Large-scale local surrogate modeling of stochastic simulation experiments (Q2157538) (← links)
- Interpreting stochastic agent-based models of cell death (Q2175264) (← links)
- Stochastic field representation using bi-fidelity combination of proper orthogonal decomposition and kriging (Q2179204) (← links)
- Probabilistic bisection with spatial metamodels (Q2184151) (← links)
- A novel nested stochastic Kriging model for response noise quantification and reliability analysis (Q2237444) (← links)
- A Kriging approach to the analysis of climate model experiments (Q2259972) (← links)
- A survey on kriging-based infill algorithms for multiobjective simulation optimization (Q2289950) (← links)
- A multiobjective stochastic simulation optimization algorithm (Q2301958) (← links)
- Sequential approximate optimization for design under uncertainty problems utilizing Kriging metamodeling in augmented input space (Q2308910) (← links)
- A framework for data-driven analysis of materials under uncertainty: countering the curse of dimensionality (Q2309861) (← links)
- Importance sampling and its optimality for stochastic simulation models (Q2326062) (← links)
