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Causal State Modeller Toolbox

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Causal State Modeller Toolbox

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11 Oct 2011 (Updated )

Allows users to infer minimal and optimal statistical predictors from time series data.

Test(p1,p2, dist1, dist2, alpha)
%Test function - takes two probability distributions in the form of two
%vectors of equal length, p1 and p2, the probabilities of observing each of
%k symbols given either a particular state or a particular string prefixed
%by a particular additional symbol, and tests whether they could have been
%taken from the same distribution using the kolmogorov-smirnov test with
%significance level alpha.

function [result, p] = Test(p1,p2, dist1, dist2, alpha)

[result,p,ks2stat]= kstest2(p1,p2,alpha); %1 for reject 0 for accept

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