Bayesian Statistics

Research Frontiers in Scalable Posterior Sampling via Distributed Computing

Research on distributed and parallel algorithms for Bayesian inference that enable efficient posterior sampling across large-scale datasets and computing clusters.

All Bayesian Statistics PhD categories