Causal State Modeller Toolbox

Allows users to infer minimal and optimal statistical predictors from time series data.
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Aggiornato 23 apr 2012

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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.

Cita come

David Kelly (2024). Causal State Modeller Toolbox (, MATLAB Central File Exchange. Recuperato .

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Creato con R2008a
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Versione Pubblicato Note della release

acknowledgement added

corrected a typo in the description