Bayesian Variable Selection Methods for Large-scale Genomic and Neuroimaging Data
There is now a huge literature on methods for variable selection that use spike-and-slab priors. Such methods, in particular, have been quite successful for applications in a variety of different fields.
High-throughput genomics and neuroscience are two of such examples. Read more about Dept. Seminar - Marina Vannucci