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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 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.
Two example applications have been made available for dysii, a toy linear model and more elaborate double well stochastic differential model. The former of these will serve as a useful tutorial example for those wanting to learn to use the library. The latter is a more complex application with a number of features that make [...]
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 approximate inference [...]
