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Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization

SIAM review, 2018, Vol.60 (3), p.550-591

2018

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Simple, low-cost and accurate data-driven geophysical forecasting with learned kernels

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2021-08, Vol.477 (2252)

2021

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Posterior consistency for Gaussian process approximations of Bayesian posterior distributions

Mathematics of computation, 2018-03, Vol.87 (310), p.721-753

2018

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Local Gaussian Process Approximation for Large Computer Experiments

Journal of computational and graphical statistics, 2015-04, Vol.24 (2), p.561-578

2015

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Replication or Exploration? Sequential Design for Stochastic Simulation Experiments

Technometrics, 2019-01, Vol.61 (1), p.7-23

2019

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Multi-fidelity non-intrusive reduced-order modelling based on manifold alignment

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2021-09, Vol.477 (2253)

2021

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A Survey of Monte Carlo Methods for Noisy and Costly Densities With Application to Reinforcement Learning and ABC

International statistical review, 2024-05

2024

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A frequentist approach to computer model calibration

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-03, Vol.79 (2), p.635-648

2017

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Modeling an Augmented Lagrangian for Blackbox Constrained Optimization

Technometrics, 2016-01, Vol.58 (1), p.1-11

2016

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High-fidelity hurricane surge forecasting using emulation and sequential experiments

The annals of applied statistics, 2021-03, Vol.15 (1)

2021

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Deep Gaussian Process Emulation using Stochastic Imputation

Technometrics, 2023-04, Vol.65 (2), p.150-161

2023

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Improving cardio‐mechanic inference by combining in vivo strain data with ex vivo volume–pressure data

Journal of the Royal Statistical Society Series C: Applied Statistics, 2022-08, Vol.71 (4), p.906-931

2022

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Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction

Technometrics, 2022-04, Vol.64 (2), p.199-209

2022

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Mouse avatars of human cancers: the temporality of translation in precision oncology

History and philosophy of the life sciences, 2021-02, Vol.43 (1), p.27-27, Article 27

2021

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A frequentist approach to computer model calibration

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2016-05, Vol.79 (2)

2016

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Statistics of Parameter Estimates: A Concrete Example

SIAM review, 2015-01, Vol.57 (1), p.131-149

2015

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Optimization of twisted blade of pump as turbine based on high dimensional surrogate model

Science progress (1916), 2021-10, Vol.104 (4), p.368504211059050-368504211059050

2021

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Random Variable Estimation and Model Calibration in the Presence of Epistemic and Aleatory Uncertainties

SAE International journal of materials and manufacturing, 2018-01, Vol.11 (4), p.453-466, Article 2018-01-1105

2018

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Shape optimization of a blended-wing-body underwater glider using surrogate-based global optimization method IESGO-HSR

Science progress (1916), 2020-07, Vol.103 (3), p.1-21

2020

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Emulation Engines: Choice and Quantification of Uncertainty for Complex Hydrological Models

Journal of agricultural, biological, and environmental statistics, 2018-03, Vol.23 (1), p.39-62

2018

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A Surrogate Modeling for Storm Surge Prediction Using an Artificial Neural Network

Journal of coastal research, 2018-05, Vol.85, p.866-870

2018

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Emulated Multivariate Global Sensitivity Analysis for Complex Computer Models Applied to Agricultural Simulators

Journal of agricultural, biological, and environmental statistics, 2019-03, Vol.24 (1), p.130-153

2019

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Design and Control Co-optimization of a Mixed Hybrid Electric Powertrain Architecture

SAE International journal of electrified vehicles (Print), 2023-01, Vol.12 (2), Article 14-12-02-0010

2023

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Gaussian Process Single-Index Models as Emulators for Computer Experiments

Technometrics, 2012-02, Vol.54 (1), p.30-41

2012

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Designs for crossvalidating approximation models

Biometrika, 2013-12, Vol.100 (4), p.997-1004

2013

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Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization

Simple, low-cost and accurate data-driven geophysical forecasting with learned kernels

Posterior consistency for Gaussian process approximations of Bayesian posterior distributions

Local Gaussian Process Approximation for Large Computer Experiments

Replication or Exploration? Sequential Design for Stochastic Simulation Experiments

Multi-fidelity non-intrusive reduced-order modelling based on manifold alignment

A Survey of Monte Carlo Methods for Noisy and Costly Densities With Application to Reinforcement Learning and ABC

A frequentist approach to computer model calibration

Modeling an Augmented Lagrangian for Blackbox Constrained Optimization

High-fidelity hurricane surge forecasting using emulation and sequential experiments

Deep Gaussian Process Emulation using Stochastic Imputation

Improving cardio‐mechanic inference by combining in vivo strain data with ex vivo volume–pressure data

Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction

Mouse avatars of human cancers: the temporality of translation in precision oncology

A frequentist approach to computer model calibration

Statistics of Parameter Estimates: A Concrete Example

Optimization of twisted blade of pump as turbine based on high dimensional surrogate model

Random Variable Estimation and Model Calibration in the Presence of Epistemic and Aleatory Uncertainties

Shape optimization of a blended-wing-body underwater glider using surrogate-based global optimization method IESGO-HSR

Emulation Engines: Choice and Quantification of Uncertainty for Complex Hydrological Models

A Surrogate Modeling for Storm Surge Prediction Using an Artificial Neural Network

Emulated Multivariate Global Sensitivity Analysis for Complex Computer Models Applied to Agricultural Simulators

Design and Control Co-optimization of a Mixed Hybrid Electric Powertrain Architecture

Gaussian Process Single-Index Models as Emulators for Computer Experiments

Designs for crossvalidating approximation models

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