Parcourir par sujet "Robust predictions"
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Optimal sensor placement for response predictions using local and global methods
(2020)A Bayesian framework for model-based optimal sensor placement for response predictions is presented. Our interest lies in determining the parameters of the model in order to make predictions about a particular response ... -
Probabilistic hierarchical Bayesian framework for time-domain model updating and robust predictions
(2019)A new time-domain hierarchical Bayesian framework is proposed to improve the performance of Bayesian methods in terms of reliability and robustness of estimates particularly for uncertainty quantification and propagation ... -
A unified sampling-based framework for optimal sensor placement considering parameter and prediction inference
(2021)We present a Bayesian framework for model-based optimal sensor placement. Our interest lies in minimizing the uncertainty on predictions of a particular response quantity of interest, with parameter estimation being an ...