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dysii is not yet available on Windows or Mac platforms. You are welcome to try porting it if you wish, it is largely written to be platform independent, just developed on Linux and untested on other platforms at this stage.
Example applications are also available for download.
I’ve added one preprint and one older workshop paper to arXiv.org, given recent interest, see below. Murray, L. M.; Jones, E. M. & Parslow, J. (2012). On collapsed state-space models and the particle marginal Metropolis-Hastings sampler. In review. [arXiv] Murray, L.M. (2011). GPU acceleration of the particle filter: The Metropolis resampler. Distributed machine learning and [...]
I’ve posted the final version of my PhD thesis, "Bayesian Learning of Continuous-Time Dynamical Systems, with Applications in Functional Magnetic Resonance Imaging" to the research page. Now assessed, corrected and passed! Note that this may serve as a useful manual for some of the detail behind the algorithms of the dysii Dynamic Systems Library.
Version 1.4.0 of the dysii Dynamic Systems Library has been released. This is a major new release with a number of additional features and performance enhancements, as well as representing a consolidation of code and maturation of much of the API. Particular new features include: The kernel forward-backward and two-filter smoothers, suitable for fast, large-scale [...]
