Computational Statistics

Research Frontiers in Adaptive Monte Carlo for Multimodal Posteriors

Design of computationally efficient sampling schemes that dynamically adapt to complex posterior landscapes with multiple isolated modes and varying geometry.

All Computational Statistics PhD categories