8 citations · 9 across the 7 of their papers we have counts for
Showing 2020 · stat.COShow all
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stat.CO2020★ 1 cited
Multilevel Delayed Acceptance MCMC with an Adaptive Error Model in PyMC3
Mikkel B. Lykkegaard, Grigorios Mingas, Robert Scheichl +2
Uncertainty Quantification through Markov Chain Monte Carlo (MCMC) can be prohibitively expensive for target probability densities with expensive likelihood functions, for instance…
stat.CO2020
Accelerating Uncertainty Quantification of Groundwater Flow Modelling Using a Deep Neural Network Proxy
Mikkel B. Lykkegaard, Tim J. Dodwell, David Moxey
Quantifying the uncertainty in model parameters and output is a critical component in model-driven decision support systems for groundwater management. This paper presents a novel…