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09/21/2023
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments
Computer simulations have become essential for analyzing complex systems...
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05/02/2023
Advancing inverse scattering with surrogate modeling and Bayesian inference for functional inputs
Inverse scattering aims to infer information about a hidden object by us...
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01/25/2023
mcGP: mesh-clustered Gaussian process emulator for partial differential equation systems
Partial differential equations (PDEs) have become an essential tool for ...
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11/01/2022
Stacking designs: designing multi-fidelity computer experiments with confidence
In an era where scientific experiments can be very costly, multi-fidelit...
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01/05/2022
Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems
Surrogate modeling based on Gaussian processes (GPs) has received increa...
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01/13/2021
Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak
As the coronavirus disease 2019 (COVID-19) has shown profound effects on...
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09/26/2020
Efficient calibration for imperfect epidemic models with applications to the analysis of COVID-19
The estimation of unknown parameters in simulations, also known as calib...
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11/11/2019
Clustered Gaussian process model with an application to solar irradiance emulation
A Gaussian process has been one of the important approaches for emulatin...
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10/25/2019
Calibration of computer models with heteroscedastic measurement errors
Computer models are commonly used to represent a wide range of real syst...
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10/25/2019
Calibration of computer models with heteroscedastic errors and application to plant relative growth rates
Computer models are commonly used to represent a wide range of real syst...
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06/05/2018
Calibration for computer experiments with binary responses
Calibration refers to the estimation of unknown parameters which are pre...
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02/24/2018
Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for prediction of spatiotemporally evolving flow dynamics
This interdisciplinary study, which combines machine learning, statistic...
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07/26/2017