Srikantan Nagarajan

Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging

Several problems in neuroimaging and beyond require inference on the parameters of multi-task sparse hierarchical regression models. Examples include M/EEG inverse problems, neural encoding models for task-based fMRI analyses, and climate science. In these domains, both the model parameters to be in…