GSOC Stan Proposal - Bayesian Computation Benchmark

Under guidance from the mentors, the student will develop a suite of models for benchmarking Bayesian computation. That involves gathering data/models with a variety of inferential structure for coding and optimization in Stan. The resulting canonical models and posteriors will be submitted for inclusion in the posteriorDB database to serve as reference points against which new approaches to Bayesian computation can be compared.