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.
Zitieren als
David Kelly (2024). Causal State Modeller Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/33217-causal-state-modeller-toolbox), MATLAB Central File Exchange. Abgerufen.
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- AI and Statistics > Statistics and Machine Learning Toolbox > Descriptive Statistics and Visualization >
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Version | Veröffentlicht | Versionshinweise | |
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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 |