Data augmentation (DA) algorithms are slow in massive data settings due to multiple passes through the entire data. We address this problem by developing a DA extension that exploits asynchronous a…
Linear mixed-effects models play a fundamental role in statistical methodology. A variety of Markov chain Monte Carlo (MCMC) algorithms exist for fitting these models, but they are inefficient in m…