68 citations · 117 across the 9 of their papers we have counts for
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math.NA2018
A Bayesian approach to calibrating hydrogen flame kinetics using many experiments and parameters
John Bell, Marcus Day, Jonathan Goodman +2
First-principles Markov Chain Monte Carlo sampling is used to investigate uncertainty quantification and uncertainty propagation in parameters describing hydrogen kinetics. Specifi…
math.NA2016★ 1 cited
Iterative importance sampling algorithms for parameter estimation
Matthias Morzfeld, Marcus S. Day, Ray W. Grout +3
In parameter estimation problems one computes a posterior distribution over uncertain parameters defined jointly by a prior distribution, a model, and noisy data. Markov Chain Mont…