Causal State Modeller Toolbox
Causal State Modeller Toolbox
کد محصول : 1110
قیمت :10000 تومان
دسته :مهندسی - کد متلب
توضیحات اضافی :
The Causal State Modeller GUI allows causal state models to be inferred for both discrete and (where certain conditions are met) continuous data sets. The code is a reimplementation of the Causal State Splitting Reconstruction (CSSR) algorithm developed and written by Cosma Shalizi and Kristina
halizi (1). Users are referred to the original paper for description of the algorithm. Brie y though, all subwords in the data up to a maximum length are assigned to a `causal state', where all words in the same states share next symbol conditional distributions which are deemed equivalent when compared with a statistical test at some given signicance level. In other words, histories are grouped which share (roughly) the same futures. This process produces optimal statistical predictors of process under study. Data can be imported or generated with pre-programmed models or the
option to use a custom model. The data can be viewed and histograms plotted. Then continuous data may be discretised using the non-committal discretisation scheme. Finally the CSSR algorithm may be run, chosen metrics calculated and the model analysed and compared to other models.
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