2017
Collapsed variational Bayes for Markov jump processes
NeurIPS 2017poster
Markov jump processes are continuous-time stochastic processes widely used in statistical applications in the natural sciences, and more recently in machine learning. Inference for these models typically proceeds via Markov chain Monte Carlo, and can suffer from various computational challenges. In…