Pages that link to "Item:Q2941435"
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The following pages link to A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation (Q2941435):
Displaying 29 items.
- \(\Pi\)4U: a high performance computing framework for Bayesian uncertainty quantification of complex models (Q728966) (← links)
- An interval-based approach to model input uncertainty in M/M/1 simulation (Q1642756) (← links)
- Bayesian uncertainty quantification and propagation for discrete element simulations of granular materials (Q1668783) (← links)
- Analysis and comparison of Bayesian methods for measurement uncertainty evaluation (Q1721393) (← links)
- Bayesian sequential data collection for stochastic simulation calibration (Q1735194) (← 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)
- Local search methods for the solution of implicit inverse problems (Q1800277) (← links)
- The numerical simulation of Quanto option prices using Bayesian statistical methods (Q2066039) (← links)
- Efficient estimation of a risk measure requiring two-stage simulation optimization (Q2103034) (← links)
- Bayesian strategies to assess uncertainty in velocity models (Q2633907) (← links)
- Quantifying Input Uncertainty via Simulation Confidence Intervals (Q2967615) (← links)
- Accounting for Parameter Uncertainty in Large-Scale Stochastic Simulations with Correlated Inputs (Q3109869) (← links)
- Uncertainty Quantification in Case of Imperfect Models: A Non‐Bayesian Approach (Q4685451) (← links)
- Applying Bayesian ideas in simulation (Q4787124) (← links)
- Bayesian-Validated Surrogates for Noisy Computer Simulations; Application to Random Media (Q4891747) (← links)
- Robust Analysis in Stochastic Simulation: Computation and Performance Guarantees (Q4971591) (← links)
- (Q4983392) (← links)
- Reducing Simulation Input-Model Risk via Input Model Averaging (Q4995095) (← links)
- Subsampling to Enhance Efficiency in Input Uncertainty Quantification (Q5095183) (← links)
- Robust Simulation with Likelihood-Ratio Constrained Input Uncertainty (Q5106426) (← links)
- Optimization-Based Calibration of Simulation Input Models (Q5129200) (← links)
- Faster Kriging: Facing High-Dimensional Simulators (Q5130493) (← links)
- Some Monotonicity Results for Stochastic Kriging Metamodels in Sequential Settings (Q5131725) (← links)
- On the incorporation of parameter uncertainty for inventory management using simulation (Q5416759) (← links)
- A new Bayesian probabilistic integration framework for hybrid uncertainty propagation (Q6043251) (← links)
- Kernel quantile estimators for nested simulation with application to portfolio value-at-risk measurement (Q6066180) (← links)
- Risk quantification in stochastic simulation under input uncertainty (Q6600074) (← links)
- An integrated method for simultaneous calibration and parameter selection in computer models (Q6600079) (← links)
