17 citations · 38 across the 9 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
math.NA2016★ 2 cited
Low Rank Independence Samplers in Bayesian Inverse Problems
D. Andrew Brown, Arvind Saibaba, Sarah Vallélian
In Bayesian inverse problems, the posterior distribution is used to quantify uncertainty about the reconstructed solution. In practice, Markov chain Monte Carlo algorithms often ar…
stat.ME2016★ 17 cited
Nonparametric Functional Calibration of Computer Models
D. Andrew Brown, Sez Atamturktur
Standard methods in computer model calibration treat the calibration parameters as constant throughout the domain of control inputs. In many applications, systematic variation may…