1. AcMC
2
2. Reactive probabilistic programming
3. Matthew R. Becker. 2016. NUTS Sampler Broken (stan-dev/stan issue #2178). https://github.com/stan-dev/stan/issues/2178 Matthew R. Becker. 2016. NUTS Sampler Broken (stan-dev/stan issue #2178). https://github.com/stan-dev/stan/issues/2178
4. Michael Betancourt. 2018. A Conceptual Introduction to Hamiltonian Monte Carlo. arxiv:1701.02434. Michael Betancourt. 2018. A Conceptual Introduction to Hamiltonian Monte Carlo. arxiv:1701.02434.
5. Sooraj Bhat , Johannes Borgström , Andrew D. Gordon , and Claudio Russo . 2013. Deriving Probability Density Functions from Probabilistic Functional Programs . In Tools and Algorithms for the Construction and Analysis of Systems, Nir Piterman and Scott A . Smolka (Eds.). Springer Berlin Heidelberg , Berlin, Heidelberg . 508–522. isbn:978-3-642-36742-7 Sooraj Bhat, Johannes Borgström, Andrew D. Gordon, and Claudio Russo. 2013. Deriving Probability Density Functions from Probabilistic Functional Programs. In Tools and Algorithms for the Construction and Analysis of Systems, Nir Piterman and Scott A. Smolka (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg. 508–522. isbn:978-3-642-36742-7