Pages that link to "Item:Q1713520"
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The following pages link to The design and analysis of computer experiments (Q1713520):
Displaying 50 items.
- Projection pursuit emulation for many-input computer experiments (Q5095994) (← links)
- Faster Kriging: Facing High-Dimensional Simulators (Q5130493) (← links)
- Objective Bayesian Analysis of a Cokriging Model for Hierarchical Multifidelity Codes (Q5139355) (← links)
- A Machine Learning Approach to Adaptive Robust Utility Maximization and Hedging (Q5162848) (← links)
- Maximum expected entropy transformed Latin hypercube designs (Q5861463) (← links)
- Landmark-Warped Emulators for Models with Misaligned Functional Response (Q5862899) (← links)
- Gaussian Process Subspace Prediction for Model Reduction (Q5864693) (← links)
- Iterative method for tuning complex simulation code (Q5867441) (← links)
- Assessing Bayes Factor Surfaces Using Interactive Visualization and Computer Surrogate Modeling (Q5869304) (← links)
- Penalized Projected Kernel Calibration for Computer Models (Q5880618) (← links)
- Surrogate Modeling with Gaussian Processes for an Inverse Problem in Polymer Dynamics (Q6048312) (← links)
- Fast Calibration for Computer Models with Massive Physical Observations (Q6062240) (← links)
- A Clustered Gaussian Process Model for Computer Experiments (Q6086170) (← links)
- Generating and validating cluster sampling matrices for model-free factor screening (Q6087543) (← links)
- Uniform Projection Designs and Strong Orthogonal Arrays (Q6107218) (← links)
- Calibration of Inexact Computer Models with Heteroscedastic Errors (Q6109149) (← links)
- Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy (Q6131423) (← links)
- Construction of orthogonal general sliced Latin hypercube designs (Q6157050) (← links)
- The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models (Q6164169) (← links)
- On the maximin distance properties of orthogonal designs via the rotation (Q6174103) (← links)
- Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees) (Q6187668) (← links)
- Parameter Selection in Gaussian Process Interpolation: An Empirical Study of Selection Criteria (Q6188695) (← links)
- Identifying Nonlinear Dynamics with High Confidence from Sparse Data (Q6192105) (← links)
- Several new classes of space-filling designs (Q6494444) (← links)
- Linear screening for high-dimensional computer experiments (Q6541710) (← links)
- An integral model for high-accuracy and low-accuracy experiments (Q6544027) (← links)
- New bounds and search for maximin distance U-type designs (Q6548922) (← links)
- Construction of high-dimensional high-separation distance designs (Q6556776) (← links)
- A Hierarchical Expected Improvement Method for Bayesian Optimization (Q6567955) (← links)
- A maximum projective stratification criterion for selecting space-filling designs (Q6569423) (← links)
- Bayesian estimation of large-scale simulation models with Gaussian process regression surrogates (Q6573308) (← links)
- Multi-fidelity Gaussian process modeling with boundary information (Q6580701) (← links)
- Statistical estimation in passenger-to-train assignment models based on automated data (Q6580704) (← links)
- A class of mixed-level uniform designs generated by code mapping (Q6592782) (← links)
- An integer programming algorithm for constructing maximin distance designs from good lattice point sets (Q6593366) (← links)
- A new class of strong orthogonal arrays of strength three (Q6595023) (← links)
- Optimal experimental design: formulations and computations (Q6598420) (← links)
- A review on computer model calibration (Q6604366) (← links)
- Sequential good lattice point sets for computer experiments (Q6608131) (← links)
- Functional-input Gaussian processes with applications to inverse scattering problems (Q6621341) (← links)
- Replication or Exploration? Sequential Design for Stochastic Simulation Experiments (Q6621613) (← links)
- Controlling Sources of Inaccuracy in Stochastic Kriging (Q6621645) (← links)
- Comparing emulation methods for a high-resolution storm surge model (Q6626587) (← links)
- Strong orthogonal Latin hypercubes for computer experiments (Q6626722) (← links)
- Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction (Q6631061) (← links)
- A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input (Q6631071) (← links)
- Sensitivity Prewarping for Local Surrogate Modeling (Q6631098) (← links)
- Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates (Q6631099) (← links)
- Active Learning for Deep Gaussian Process Surrogates (Q6631105) (← links)
- Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs (Q6631147) (← links)
