no code implementations • 6 May 2016 • Reihaneh Entezari, Radu V. Craiu, Jeffrey S. Rosenthal
Markov Chain Monte Carlo (MCMC) sampling from a posterior distribution corresponding to a massive data set can be computationally prohibitive since producing one sample requires a number of operations that is linear in the data size.
