17 citations · 38 across the 9 of their papers we have counts for
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stat.CO2018
Efficient Marginalization-based MCMC Methods for Hierarchical Bayesian Inverse Problems
Arvind K. Saibaba, Johnathan Bardsley, D. Andrew Brown +1
Hierarchical models in Bayesian inverse problems are characterized by an assumed prior probability distribution for the unknown state and measurement error precision, and hyper-pri…
stat.CO2017★ 12 cited
Sampling strategies for fast updating of Gaussian Markov random fields
D. Andrew Brown, Christopher S. McMahan, Stella Watson Self
Gaussian Markov random fields (GMRFs) are popular for modeling dependence in large areal datasets due to their ease of interpretation and computational convenience afforded by the…