To address both problems, we consider model calibration on active subspaces comprised of linear combinations of parameters. We first discuss the construction of ...
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To address both problems, we consider model calibration on active subspaces comprised of linear combinations of parameters. We first discuss the construction of ...
Aug 11, 2024 · In this study, I present a hierarchical Bayesian model for calibrating divergence time analyses with multiple fossil age constraints. This ...
Jul 22, 2019 · For the first time in karst hydrology, we use the active subspace method to find directions in the parameter space that dominate the Bayesian ...
Title: Bayesian Model Calibration on Active Subspaces · North Carolina State University · Los Alamos National Laboratory.
This section discusses three different calibration exercises of the model parameters: (i) only using the flame speed observations, (ii) only using thermal ...
Bayesian Calibration and Sensitivity Analysis for a Karst Aquifer Model Using Active Subspaces. Water Resources Research, Vol. 55, No. 8 | 22 August 2019. On ...
Jul 20, 2024 · Active subspace (AS) methods are a valuable tool for understanding the relationship be- tween the inputs and outputs of a Physics simulation ...
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What is the Bayesian approach to calibration?
Sep 21, 2020 · This technical note presents an improved sampling scheme and illustrates its simplicity and efficiency by a small test case.
Jun 1, 2021 · This paper proposes a novel fixed inducing points online Bayesian calibration (FIPO-BC) algorithm to efficiently learn the model parameters using a benchmark ...