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A Computationally Stable Approach to Gaussian Process Interpolation of Deterministic Computer Simulation Data

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inferredcites →https://doi.org/10.1007/bf02065878openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0965-9978(00)00070-3openalex-snapshot
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inferredcites →https://doi.org/10.1080/02664769723648openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cite.201800089openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cjs.11156openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/nme.5751openalex-snapshot
Leveraging the nugget parameter for efficient Gaussian process modeling
inferred← citeshttps://doi.org/10.1002/sim.8679openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-21803-4_63openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-37003-8_18openalex-snapshot
Predicting Nonlinear Structural Dynamic Response of ODE Systems Using Constrained Gaussian Process Regression
inferred← citeshttps://doi.org/10.1007/s00158-023-03487-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00180-012-0380-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00184-020-00788-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00216-018-1083-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10707-015-0231-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10898-020-00937-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11004-013-9481-2openalex-snapshot
Construction and Efficient Implementation of Adaptive Objective-Based Designs of Experiments
inferred← citeshttps://doi.org/10.1007/s40304-021-00249-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s42519-022-00312-5openalex-snapshot
Solving an Inverse Problem for Time-Series-Valued Computer Simulators via Multiple Contour Estimation
inferred← citeshttps://doi.org/10.1007/s44257-026-00067-4openalex-snapshot
Auxiliary-lag dependent gaussian process model for forecasting using proposed kernels and multi-start optimization method
inferred← citeshttps://doi.org/10.1016/j.apm.2024.115796openalex-snapshot
Evaluation method of carbon-fiber-reinforced polymer material anti-radiation performance based on synergistic effect model
inferred← citeshttps://doi.org/10.1016/j.cam.2019.06.011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cma.2022.115600openalex-snapshot
A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations
inferred← citeshttps://doi.org/10.1016/j.compchemeng.2017.09.017openalex-snapshot
Advances in surrogate based modeling, feasibility analysis, and optimization: A review
inferred← citeshttps://doi.org/10.1016/j.csda.2012.04.020openalex-snapshot
The effect of the nugget on Gaussian process emulators of computer models
inferred← citeshttps://doi.org/10.1016/j.csda.2012.08.016openalex-snapshot
Spatial interaction models with individual-level data for explaining labor flows and developing local labor markets
inferred← citeshttps://doi.org/10.1016/j.csda.2013.11.017openalex-snapshot
Efficient optimization of the likelihood function in Gaussian process modelling
inferred← citeshttps://doi.org/10.1016/j.csda.2016.05.019openalex-snapshot
Gaussian process hyper-parameter estimation using Parallel Asymptotically Independent Markov Sampling
inferred← citeshttps://doi.org/10.1016/j.ejor.2017.10.002openalex-snapshot
Comparison of Gaussian process modeling software
inferred← citeshttps://doi.org/10.1016/j.ijhydene.2019.04.094openalex-snapshot
A Kriging-based bi-objective constrained optimization method for fuel economy of hydrogen fuel cell vehicle
inferred← citeshttps://doi.org/10.1016/j.jcp.2021.110598openalex-snapshot
Generalized polynomial chaos-informed efficient stochastic Kriging
inferred← citeshttps://doi.org/10.1016/j.laa.2014.10.038openalex-snapshot
On the condition number anomaly of Gaussian correlation matrices
inferred← citeshttps://doi.org/10.1016/j.optlaseng.2015.09.006openalex-snapshot
Uncertainty quantification in DIC with Kriging regression
inferred← citeshttps://doi.org/10.1016/j.rser.2019.109260openalex-snapshot
Producing high-quality solar resource maps by integrating high- and low-accuracy measurements using Gaussian processes
inferred← citeshttps://doi.org/10.1016/j.talanta.2019.02.075openalex-snapshot
Chemometrics-assisted optimization of liquid chromatography-quadrupole-time-of-flight mass spectrometry analysis for targeted metabolomics
inferred← citeshttps://doi.org/10.1016/j.trac.2020.116157openalex-snapshot
A guide to good practice in chemometric methods for vibrational spectroscopy, electrochemistry, and hyphenated mass spectrometry
inferred← citeshttps://doi.org/10.1021/acs.langmuir.5c06528openalex-snapshot
Isobaric Molecular Dynamics Study of Liquid Film Boiling
inferred← citeshttps://doi.org/10.1038/s41598-024-74376-7openalex-snapshot
Machine learning-based analysis of nutrient and water uptake in hydroponically grown soybeans
inferred← citeshttps://doi.org/10.1080/00224065.2014.11917972openalex-snapshot
Fractional Brownian Fields for Response Surface Metamodeling
inferred← citeshttps://doi.org/10.1080/00224065.2014.11917977openalex-snapshot
Statistical Surface Monitoring by Spatial-Structure Modeling
inferred← citeshttps://doi.org/10.1080/00224065.2019.1569959openalex-snapshot
Variable selection for kriging in computer experiments
inferred← citeshttps://doi.org/10.1080/00224065.2023.2241680openalex-snapshot
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration
inferred← citeshttps://doi.org/10.1080/00401706.2013.861629openalex-snapshot
Convex Combination of Gaussian Processes for Bayesian Analysis of Deterministic Computer Experiments
inferred← citeshttps://doi.org/10.1080/00401706.2017.1345701openalex-snapshot
Resolution Adaptive Fixed Rank Kriging
inferred← citeshttps://doi.org/10.1080/01621459.2015.1077711openalex-snapshot
Brownian Integrated Covariance Functions for Gaussian Process Modeling: Sigmoidal Versus Localized Basis Functions
inferred← citeshttps://doi.org/10.1080/01621459.2019.1595630openalex-snapshot
Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments
inferred← citeshttps://doi.org/10.1080/0740817x.2015.1019164openalex-snapshot
Constrained hierarchical modeling of degradation data in tissue-engineered scaffold fabrication
inferred← citeshttps://doi.org/10.1080/0740817x.2015.1027455openalex-snapshot
Monitoring wafers’ geometric quality using an additive Gaussian process model
inferred← citeshttps://doi.org/10.1080/10618600.2012.738961openalex-snapshot
On the Choice of Nugget in Kriging Modeling for Deterministic Computer Experiments
inferred← citeshttps://doi.org/10.1080/10618600.2018.1473778openalex-snapshot
Local Gaussian Process Model for Large-Scale Dynamic Computer Experiments
inferred← citeshttps://doi.org/10.1080/14697688.2022.2162432openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/24725854.2017.1414973openalex-snapshot
Constrained Gaussian process with application in tissue-engineering scaffold biodegradation
inferred← citeshttps://doi.org/10.1103/physrevc.100.044001openalex-snapshot
Quantifying correlated truncation errors in effective field theory
inferred← citeshttps://doi.org/10.1108/ec-07-2016-0264openalex-snapshot
Statistical inference of empirical constituents in partitioned analysis from integral-effect experiments
inferred← citeshttps://doi.org/10.1108/ftmal-06-2026-0132openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2025.3585402openalex-snapshot
Leverage Gaussian Interpolation Features Extraction and Advanced Encode–Decode Models for 2D Steady State Flows Estimation
inferred← citeshttps://doi.org/10.1109/case56687.2023.10260576openalex-snapshot
Search Based Testing for Code Coverage and Falsification in Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1109/coase.2019.8843005openalex-snapshot
Falsification of Cyber-Physical Systems with Robustness Uncertainty Quantification Through Stochastic optimization with Adaptive Restart
inferred← citeshttps://doi.org/10.1109/ichi54592.2022.00034openalex-snapshot
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction
inferred← citeshttps://doi.org/10.1109/tcc.2015.2469656openalex-snapshot
Ensemble: A Tool for Performance Modeling of Applications in Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/wsc.2016.7822403openalex-snapshot
Comparison of Gaussian process modeling software
inferred← citeshttps://doi.org/10.1109/wsc.2017.8247943openalex-snapshot
Trust region based stochastic optimization with adaptive restart: A family of global optimization algorithms
inferred← citeshttps://doi.org/10.1109/wsc48552.2020.9384014openalex-snapshot
Partition-Based Bayesian Optimization for Stochastic Simulations
inferred← citeshttps://doi.org/10.1115/1.4043964openalex-snapshot
Evaluating Optimization Strategies for Engine Simulations Using Machine Learning Emulators
inferred← citeshttps://doi.org/10.1115/1.4044257openalex-snapshot
Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design
inferred← citeshttps://doi.org/10.1115/1.4050746openalex-snapshot
Evolutionary Gaussian Processes
inferred← citeshttps://doi.org/10.1115/detc2017-67976openalex-snapshot
Enhanced Gaussian Process Metamodeling and Collaborative Optimization for Vehicle Suspension Design Optimization
inferred← citeshttps://doi.org/10.1115/detc2019-98027openalex-snapshot
Gaussian Process Emulation for Big Data in Data-Driven Metamaterials Design
inferred← citeshttps://doi.org/10.1115/detc2020-22381openalex-snapshot
Extrapolation With Gaussian Random Processes and Evolutionary Programming
inferred← citeshttps://doi.org/10.1115/icef2018-9726openalex-snapshot
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inferred← citeshttps://doi.org/10.1137/130941912openalex-snapshot
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inferred← citeshttps://doi.org/10.1137/130948112openalex-snapshot
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inferred← citeshttps://doi.org/10.1137/140989613openalex-snapshot
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inferred← citeshttps://doi.org/10.1137/15m1047659openalex-snapshot
Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems
inferred← citeshttps://doi.org/10.1137/15m105358xopenalex-snapshot
Maximum Likelihood Estimation for a Smooth Gaussian Random Field Model
inferred← citeshttps://doi.org/10.1137/19m1288462openalex-snapshot
EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors
inferred← citeshttps://doi.org/10.1137/21m1444710openalex-snapshot
Parameter Selection in Gaussian Process Interpolation: An Empirical Study of Selection Criteria
inferred← citeshttps://doi.org/10.1137/24m1663648openalex-snapshot
Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers
inferred← citeshttps://doi.org/10.1137/24m1684220openalex-snapshot
Random Fourier Features Based Gaussian Process Models for Stochastic Simulations
inferred← citeshttps://doi.org/10.1137/25m176430xopenalex-snapshot
A Kernel-Based Approach for Gaussian Process Modeling with Functional Information
inferred← citeshttps://doi.org/10.1175/mwr-d-17-0265.1openalex-snapshot
Application of Multivariate Sensitivity Analysis Techniques to AGCM-Simulated Tropical Cyclones
inferred← citeshttps://doi.org/10.1177/0272989x211016307openalex-snapshot
Choosing a Metamodel of a Simulation Model for Uncertainty Quantification
inferred← citeshttps://doi.org/10.1190/int-2018-0255.1openalex-snapshot
Machine learning regressors and their metrics to predict synthetic sonic and mechanical properties
inferred← citeshttps://doi.org/10.1201/b16597-12openalex-snapshot
Design of Computer Experiments for Optimization, Estima- tion of Function Contours, and Related Objectives
inferred← citeshttps://doi.org/10.1214/12-aoas570openalex-snapshot
Composite Gaussian process models for emulating expensive functions
inferred← citeshttps://doi.org/10.1214/15-sts531openalex-snapshot
Analysis Methods for Computer Experiments: How to Assess and What Counts?
inferred← citeshttps://doi.org/10.1214/17-aos1648openalex-snapshot
Robust Gaussian stochastic process emulation
inferred← citeshttps://doi.org/10.1214/23-ejs2178openalex-snapshot
Assessing the estimation of nearly singular covariance matrices for modeling spatial variables
inferred← citeshttps://doi.org/10.1287/ijoc.2017.0779openalex-snapshot
Some Monotonicity Results for Stochastic Kriging Metamodels in Sequential Settings
inferred← citeshttps://doi.org/10.1287/ijoc.2021.1078openalex-snapshot
Combined Global and Local Search for Optimization with Gaussian Process Models
inferred← citeshttps://doi.org/10.1615/int.j.uncertaintyquantification.2016018590openalex-snapshot
TRANSITIONAL ANNEALED ADAPTIVE SLICE SAMPLING FOR GAUSSIAN PROCESS HYPER-PARAMETER ESTIMATION
inferred← citeshttps://doi.org/10.18637/jss.v064.i12openalex-snapshot
GPfit: AnRPackage for Fitting a Gaussian Process Model to Deterministic Simulator Outputs
inferred← citeshttps://doi.org/10.18637/jss.v064.i13openalex-snapshot
SAVE: AnRPackage for the Statistical Analysis of Computer Models
inferred← citeshttps://doi.org/10.18637/jss.v072.i01openalex-snapshot
laGP : Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R
inferred← citeshttps://doi.org/10.20944/preprints201908.0246.v1openalex-snapshot
Statistical Methods for Computer Experiments with Applications in Neuroscience
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2486388/v1openalex-snapshot
Auxiliary-lag Dependent Gaussian Process Model for Forecasting Rainfall Data Using Proposed Kernels and Multi-start Optimization Method
inferred← citeshttps://doi.org/10.2514/6.2016-3698openalex-snapshot
Reduced-Order Modeling for Rapid Thermal Analysis and Evaluation of Spacecraft
inferred← citeshttps://doi.org/10.32614/cran.package.gekopenalex-snapshot
gek: Gradient-Enhanced Kriging
inferred← citeshttps://doi.org/10.4018/978-1-5225-8407-0.ch011openalex-snapshot
Statistical Modelling and Analysis of the Computer-Simulated Datasets
inferred← citeshttps://doi.org/10.4236/ojs.2016.63045openalex-snapshot
Inverse Problem for a Time-Series Valued Computer Simulator via Scalarization
inferred← citeshttps://doi.org/10.48550/arxiv.1203.1269openalex-snapshot
A Short Note on Gaussian Process Modeling for Large Datasets using Graphics Processing Units
inferred← citeshttps://doi.org/10.48550/arxiv.1303.0383openalex-snapshot
Local Gaussian Process Approximation for Large Computer Experiments
inferred← citeshttps://doi.org/10.48550/arxiv.1310.5182openalex-snapshot
Massively parallel approximate Gaussian process regression
inferred← citeshttps://doi.org/10.48550/arxiv.1602.00853openalex-snapshot
An analytic comparison of regularization methods for Gaussian Processes
inferred← citeshttps://doi.org/10.48550/arxiv.1605.09503openalex-snapshot
Inverse problem for time-series valued computer model via scalarization
inferred← citeshttps://doi.org/10.48550/arxiv.1708.04738openalex-snapshot
Robust Gaussian Stochastic Process Emulation
inferred← citeshttps://doi.org/10.48550/arxiv.1901.03134openalex-snapshot
Gaussian processes with linear operator inequality constraints
inferred← citeshttps://doi.org/10.48550/arxiv.1910.04086openalex-snapshot
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization
inferred← citeshttps://doi.org/10.48550/arxiv.2001.02892openalex-snapshot
A Generalized Probabilistic Learning Approach for Multi-Fidelity Uncertainty Propagation in Complex Physical Simulations
inferred← citeshttps://doi.org/10.48550/arxiv.2101.02206openalex-snapshot
Sequential Design of Computer Experiments with Quantitative and Qualitative Factors in Applications to HPC Performance Optimization
inferred← citeshttps://doi.org/10.48550/arxiv.2107.03217openalex-snapshot
Combined Global and Local Search for Optimization with Gaussian Process Models
inferred← citeshttps://doi.org/10.48550/arxiv.2111.12604openalex-snapshot
State-space deep Gaussian processes with applications
inferred← citeshttps://doi.org/10.5194/tc-15-2683-2021openalex-snapshot
Statistical emulation of a perturbed basal melt ensemble of an ice sheet model to better quantify Antarctic sea level rise uncertainties
inferred← citeshttps://doi.org/10.5705/ss.202015.0156openalex-snapshot
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inferred← citeshttps://doi.org/10.6084/m9.figshare.7869362openalex-snapshot
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inferred← citeshttps://doi.org/10.70675/af26b6b0z7a94z4b9bza664z435b08eac4bcopenalex-snapshot
Improved Gaussian process modeling : Application to Bayesian optimization
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