Waggoner, Daniel F.; Zha, Tao; Wu, Hongwei - Federal Reserve Bank of Atlanta - 2014
Having efficient and accurate samplers for simulating the posterior distribution is crucial for Bayesian analysis. We develop a generic posterior simulator called the "dynamic striated Metropolis-Hastings (DSMH)" sampler. Grounded in the Metropolis-Hastings algorithm, it draws its strengths from...