@swcarpentry : modern-scientific-authoring

Publications.md

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 * [RESEARCH PAPERS](#research-papers)
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 # RESEARCH PAPERS
-- [Julia language research publications](https://julialang.org/publications/).
-- Shah, Viral B., et al. "[Novel Algebras for Advanced Analytics in Julia](https://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](https://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](https://arxiv.org/abs/1411.1607)", 07-November-2014.
++ [How to write, publish, and review scientific papers in the early 21st Century](https://github.com/swcarpentry/modern-scientific-authoring) 
++ [Julia language research publications](https://julialang.org/publications/).
++ Shah, Viral B., et al. "[Novel Algebras for Advanced Analytics in Julia](https://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](https://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](https://arxiv.org/abs/1411.1607)", 07-November-2014.