31 citations · 40 across the 8 of their papers we have counts for
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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★ 31 cited
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…