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most citedSparse Bayesian neural networks for regression: Tackling overfitting and computational challenges in uncertainty quantification

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stat.CO2021

Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion

Han Lu, Mohammad Khalil, Thomas Catanach +5

In the context of Bayesian inversion for scientific and engineering modeling, Markov chain Monte Carlo sampling strategies are the benchmark due to their flexibility and robustness…