Sara Wade thesis selected as finalist for ISBA Savage Award

Sara Wade’s PhD Thesis “Bayesian nonparametric regression through mixture models” has been selected as a finalist for the Savage Award in the Theory & Methods category by the International Society for Bayesian Analysis (ISBA). Four finalists were selected. Bios of the finalists and the abstracts of their theses may be found in the ISBA bulletin here.

More info on the Savage Award may be found here.