Pages that link to "Item:Q1595979"
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The following pages link to Design and analysis of computer experiments. With comments and a rejoinder by the authors (Q1595979):
Displaying 50 items.
- Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition (Q5758075) (← links)
- Representing Model Discrepancy in Bound-to-Bound Data Collaboration (Q5858423) (← links)
- EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors (Q5858428) (← links)
- Maximum expected entropy transformed Latin hypercube designs (Q5861463) (← links)
- Latin hypercube designs based on strong orthogonal arrays and Kriging modelling to improve the payload distribution of trains (Q5861530) (← links)
- Computer Model Calibration with Time Series Data Using Deep Learning and Quantile Regression (Q5862894) (← links)
- Cross-Validation--based Adaptive Sampling for Gaussian Process Models (Q5862906) (← links)
- Bayesian Projected Calibration of Computer Models (Q5881976) (← links)
- Global optimization for mixed categorical-continuous variables based on Gaussian process models with a randomized categorical space exploration step (Q5882394) (← links)
- A Survey of Reporting Practices of Computer Simulation Studies in Statistical Research (Q5882553) (← links)
- A statistical method for tuning a computer code to a data base. (Q5941427) (← links)
- Non-stationary stochastic embedding for transfer function estimation (Q5953540) (← links)
- Modern statistical methods in oceanography: a hierarchical perspective (Q5965037) (← links)
- Comment on ``Probabilistic integration: a role in statistical computation?'' (Q5971034) (← links)
- Surrogate-based design optimization of a centrifugal pump impeller (Q6048196) (← links)
- Saving storage in climate ensembles: a model-based stochastic approach (Q6050905) (← links)
- Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation (Q6062242) (← links)
- Applications of Statistics in the Field of General Insurance: An Overview (Q6064071) (← links)
- Sliced Gradient-Enhanced Kriging for High-Dimensional Function Approximation (Q6068801) (← links)
- A single-loop approach with adaptive sampling and surrogate Kriging for reliability-based design optimization (Q6094379) (← links)
- Gradient and uncertainty enhanced sequential sampling for global fit (Q6096471) (← links)
- Multielement polynomial chaos kriging-based metamodelling for Bayesian inference of non-smooth systems (Q6100033) (← links)
- Estimating the parameters of some common Gaussian random fields with nugget under fixed-domain asymptotics (Q6103257) (← links)
- Solving an inverse problem for time-series-valued computer simulators via multiple contour estimation (Q6106265) (← links)
- Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations (Q6106481) (← links)
- Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem (Q6107000) (← links)
- Parametric estimation of a stability factor for certified reduced basis methods via adaptive Gaussian process (Q6116130) (← links)
- Probabilistic forecast of nonlinear dynamical systems with uncertainty quantification (Q6117709) (← links)
- Gradient enhanced Gaussian process regression for constitutive modelling in finite strain hyperelasticity (Q6120133) (← links)
- Gaussian orthogonal latent factor processes for large incomplete matrices of correlated data (Q6121983) (← links)
- Deep Gaussian processes for calibration of computer models (with discussion) (Q6121987) (← links)
- Efficient emulation of computer models utilising multiple known boundaries of differing dimension (Q6122020) (← links)
- Bayesian uncertainty quantification for low-rank matrix completion (Q6122033) (← links)
- A new taxonomy of global optimization algorithms (Q6137180) (← links)
- Exploratory ensemble designs for environmental models using k‐extended Latin Hypercubes (Q6139145) (← links)
- Robust parameter design of mixed multiple responses based on a latent variable Gaussian process model (Q6151477) (← links)
- A cooperative approach to efficient global optimization (Q6154399) (← links)
- The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models (Q6164169) (← links)
- A sequential design strategy for integrating low-accuracy and high-accuracy computer experiments (Q6171532) (← links)
- Bayesian spatiotemporal modeling for inverse problems (Q6172144) (← links)
- Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference (Q6172908) (← links)
- A comparison of statistical emulation methodologies for multi‐wave calibration of environmental models (Q6179757) (← links)
- Evaluation of kriging-NARX modeling for uncertainty quantification of nonlinear SDOF systems with degradation (Q6491377) (← links)
- Handling noise and overfitting in surrogate models based on non-uniform rational basis spline entities (Q6497149) (← links)
- Multifidelity adaptive kriging metamodel based on discretization error bounds (Q6553428) (← links)
- Parametric energy conserving sampling and weighting for the thermal analysis of selective laser melting (Q6558985) (← links)
- Fusing nonlinear solvers with transformers for accelerating the solution of parametric transient problems (Q6566042) (← links)
- Kriging prediction from a circular grid: application to wafer diffusion (Q6570837) (← links)
- Multi-fidelity analysis and uncertainty quantification of beam vibration using correction response surfaces (Q6572348) (← links)
- Multi-objective aerodynamic shape design optimization of canard-controlled missiles for reducing induced roll (Q6572722) (← links)