Tommie A. Catanach | DeepAI

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research

∙ 04/17/2023

Metrics for Bayesian Optimal Experiment Design under Model Misspecification

The conventional approach to Bayesian decision-theoretic experiment desi...

0 Tommie A. Catanach, et al. ∙

research

∙ 09/27/2022

Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter

Experimental data is costly to obtain, which makes it difficult to calib...

0 Ruben Villarreal, et al. ∙

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