Bayesian Methods for High-dimensional Data.
Dora Zhang successfully defended her thesis entitled “Bayesian Methods for High-dimensional Data”. In her thesis, Dora proposed several new continuous-shrinkage prior distributions for high-dimensional linear regression and studied the computational and theoretical properties of the resulting Bayesian procedures. After graduation she will assume a post-doc position with Nilanjan Chatterjee at Johns Hopkins University. Congrat, Dora!