* [RESEARCH PAPERS](#research-papers) ---- # RESEARCH PAPERS + [How to write, publish, and review scientific papers in the early 21st Century](https://github.com/swcarpentry/modern-scientific-authoring) + [Julia language research publications](http://julialang.org/publications/). + Shah, Viral B., et al. "[Novel Algebras for Advanced Analytics in Julia](http://ieee-hpec.org/2013/index_htm_files/49.pdf)", IEEE-HPEC (2013). + Foulds, James, et al. "Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation." Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2013. + Tran, M-N., et al. "Annealed Important Sampling for Models with Latent Variables." arXiv preprint arXiv:1402.6035 (2014). + Picchini, Umberto, and Julie Lyng Forman. "Accelerating inference for diffusions observed with measurement error and large sample sizes using Approximate Bayesian Computation: A case study." arXiv preprint arXiv:1310.0973 (2013). + Lin, Dahua. "Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation." Advances in Neural Information Processing Systems. 2013. + Matthew Farrell, and David Taylor, Department of Computer Science, Urbana, IL: [Julia Paper](http://julia.lifehug.com/gqm/julia_paper.html) and the [PDF file can be download here](julia.lifehug.com/gqm/JuliaFeatureUsage.pdf). + Bezanson Jeff, et al. "[Julia: A fresh approach to numerical computing](http://arxiv.org/abs/1411.1607)", 07-November-2014.