Causal State Modeller Toolbox
A reimplementation of the CSSR algorithm of Shalizi et al. Extends the input data from discrete to continuous clustered by way of a novel discretisation scheme. Allows users to infer optimally predictive hidden Markov models from their data, either supplied or generated by the code. Calculates the statistical complexity and other metrics of the data/inferred model. See help file for more details.
Citation pour cette source
David Kelly (2024). Causal State Modeller Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/33217-causal-state-modeller-toolbox), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Descriptive Statistics and Visualization >
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Inspiré par : Files Under Folders (fuf), export_fig, Close all figures except those listed
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Version | Publié le | Notes de version | |
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1.2.0.0 | acknowledgement added |
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1.1.0.0 | corrected a typo in the description |
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1.0.0.0 |