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On Prediction Properties of Kriging: Uniform Error Bounds and Robustness

Journal of the American Statistical Association, 2020-04, Vol.115 (530), p.920-930

2020

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EFFICIENT CALIBRATION FOR IMPERFECT COMPUTER MODELS

The Annals of statistics, 2015-12, Vol.43 (6), p.2331-2352

2015

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A Generalized Gaussian Process Model for Computer Experiments With Binary Time Series

Journal of the American Statistical Association, 2020-04, Vol.115 (530), p.945-956

2020

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Experiments - Planning, Analysis and Optimization (3rd Edition)

3rd ed, 2021

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Optimizing and Improving the Growth Quality of ZnO Nanowire Arrays Guided by Statistical Design of Experiments

ACS nano, 2009-07, Vol.3 (7), p.1803-1812

2009

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Expression of trehalose-6-phosphate phosphatase in maize ears improves yield in well-watered and drought conditions

Nature biotechnology, 2015-08, Vol.33 (8), p.862-869

2015

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Kernel-Smoothed Proper Orthogonal Decomposition–Based Emulation for Spatiotemporally Evolving Flow Dynamics Prediction

AIAA journal, 2019-12, Vol.57 (12), p.5269-5280

2019

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Uncertainty quantification of microclimate variables in building energy models

Journal of building performance simulation, 2014-01, Vol.7 (1), p.17-32

2014

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Statistical estimation in passenger‐to‐train assignment models based on automated data

Applied stochastic models in business and industry, 2022-03, Vol.38 (2), p.287-307

2022

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Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification

Journal of global optimization, 2020-08, Vol.77 (4), p.919-948

2020

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Surrogate Modeling of Computer Experiments With Different Mesh Densities

Technometrics, 2014-08, Vol.56 (3), p.372-380

2014

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PREDICTION BASED ON THE KENNEDY-O'HAGAN CALIBRATION MODEL: ASYMPTOTIC CONSISTENCY AND OTHER PROPERTIES

Statistica Sinica, 2018-04, Vol.28 (2), p.743-759

2018

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CME Analysis: A New Method for Unraveling Aliased Effects in Two-Level Fractional Factorial Experiments

Journal of quality technology, 2017-01, Vol.49 (1), p.1-10

2017

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Building Surrogate Models Based on Detailed and Approximate Simulations

Journal of mechanical design (1990), 2006-07, Vol.128 (4), p.668-677

2006

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Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion

Technometrics, 2017-01, Vol.59 (1), p.58-68

2017

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On the Choice of Nugget in Kriging Modeling for Deterministic Computer Experiments

Journal of computational and graphical statistics, 2014-03, Vol.23 (1), p.151-168

2014

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Sequential Designs Based on Bayesian Uncertainty Quantification in Sparse Representation Surrogate Modeling

Technometrics, 2017-04, Vol.59 (2), p.139-152

2017

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Investigating the role of apparel supplier satisfaction in developing a collaborative buyer–supplier relationship: a power-dependency perspective

Journal of fashion marketing and management, 2023-12, Vol.28 (1), p.81-98

2023

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Robust Design Optimization With Quadratic Loss Derived From Gaussian Process Models

Technometrics, 2012-02, Vol.54 (1), p.51-63

2012

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CONSTRUCTION OF NESTED SPACE-FILLING DESIGNS

The Annals of statistics, 2009-12, Vol.37 (6A), p.3616-3643

2009

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Robust optimization of the output voltage of nanogenerators by statistical design of experiments

Nano research, 2010-09, Vol.3 (9), p.613-619

2010

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A High-Performance InAs/GaSb Core-Shell Nanowire Line-Tunneling TFET: An Atomistic Mode-Space NEGF Study

IEEE journal of the Electron Devices Society, 2019, Vol.7, p.88-99

2019

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Calibration of Dynamic Building Energy Models with Multiple Responses Using Bayesian Inference and Linear Regression Models

Energy procedia, 2015-11, Vol.78, p.979-984

2015

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Design and Analysis of Multifidelity Finite Element Simulations

Journal of mechanical design (1990), 2023-06, Vol.145 (6)

2023

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Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization

Technometrics, 2019-10, Vol.61 (4), p.545-559

2019

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On Prediction Properties of Kriging: Uniform Error Bounds and Robustness

EFFICIENT CALIBRATION FOR IMPERFECT COMPUTER MODELS

A Generalized Gaussian Process Model for Computer Experiments With Binary Time Series

Experiments - Planning, Analysis and Optimization (3rd Edition)

Optimizing and Improving the Growth Quality of ZnO Nanowire Arrays Guided by Statistical Design of Experiments

Expression of trehalose-6-phosphate phosphatase in maize ears improves yield in well-watered and drought conditions

Kernel-Smoothed Proper Orthogonal Decomposition–Based Emulation for Spatiotemporally Evolving Flow Dynamics Prediction

Uncertainty quantification of microclimate variables in building energy models

Statistical estimation in passenger‐to‐train assignment models based on automated data

Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification

Surrogate Modeling of Computer Experiments With Different Mesh Densities

PREDICTION BASED ON THE KENNEDY-O'HAGAN CALIBRATION MODEL: ASYMPTOTIC CONSISTENCY AND OTHER PROPERTIES

CME Analysis: A New Method for Unraveling Aliased Effects in Two-Level Fractional Factorial Experiments

Building Surrogate Models Based on Detailed and Approximate Simulations

Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion

On the Choice of Nugget in Kriging Modeling for Deterministic Computer Experiments

Sequential Designs Based on Bayesian Uncertainty Quantification in Sparse Representation Surrogate Modeling

Investigating the role of apparel supplier satisfaction in developing a collaborative buyer–supplier relationship: a power-dependency perspective

Robust Design Optimization With Quadratic Loss Derived From Gaussian Process Models

CONSTRUCTION OF NESTED SPACE-FILLING DESIGNS

Robust optimization of the output voltage of nanogenerators by statistical design of experiments

A High-Performance InAs/GaSb Core-Shell Nanowire Line-Tunneling TFET: An Atomistic Mode-Space NEGF Study

Calibration of Dynamic Building Energy Models with Multiple Responses Using Bayesian Inference and Linear Regression Models

Design and Analysis of Multifidelity Finite Element Simulations

Analysis-of-Marginal-Tail-Means (ATM): A Robust Method for Discrete Black-Box Optimization

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