A fully Bayesian strategy for high-dimensional hierarchical modeling using massively parallel computing

Will Landau, Jarad Niemi

Markov chain Monte Carlo (MCMC) is the predominant tool used in Bayesian parameter estimation for hierarchical models. When the model expands due to an increasing number of hierarc…