joseph.lizier b50384a302 Added methods for computeSignificance analytically (i.e. without bootstrapping) to the new Gaussian TE calculators (i.e. the Granger causality calculators), plus for directly assigning the joint covariance matrix for each calculator, and a debug method to access the computed determinants.		2014-04-23 02:07:29 +00:00
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ActiveInfoStorageCalculatorGaussian.java	Rearchitected Active Info Storage calculators to use a common parent class for data collection, and underlying mutual information classes for the implementation specifics. Includes adding Kraskov and Gaussian Active Info Storage calculators, and implementing embedding delay for the past history.	2014-03-26 04:05:20 +00:00
ConditionalMutualInfoCalculatorMultiVariateGaussian.java	Extended fix to handle zero-covariance conditionals for handling linear redundancies amongst variables properly in ConditionalMICalculatorMultivariateGaussian - this contributes to resolution (closed) for Issue 16	2013-07-06 18:24:13 +00:00
ConditionalTransferEntropyCalculatorGaussian.java	Added methods for computeSignificance analytically (i.e. without bootstrapping) to the new Gaussian TE calculators (i.e. the Granger causality calculators), plus for directly assigning the joint covariance matrix for each calculator, and a debug method to access the computed determinants.	2014-04-23 02:07:29 +00:00
EntropyCalculatorGaussian.java	Adding extra matrix utility functions to allow multivariate normal PDF to be calculated (including Cholesky decomposition, inversion of symmetric matrices), extra matrix multiplcation routines, etc.	2012-08-06 07:44:23 +00:00
EntropyCalculatorMultiVariateGaussian.java	Code edits to mixed calculators to fix compilation after moving them into the "mixed" package. Also needed to make some alternations to some of the continuous calculators to fix usage of protected members which are no longer accessible to the moved classes.	2014-04-17 11:10:58 +00:00
MutualInfoCalculatorMultiVariateGaussian.java	Patching linear Gaussian estimators to give empirical statistical significance given a certain number of observations.	2013-03-04 06:08:38 +00:00
TransferEntropyCalculatorGaussian.java	Added methods for computeSignificance analytically (i.e. without bootstrapping) to the new Gaussian TE calculators (i.e. the Granger causality calculators), plus for directly assigning the joint covariance matrix for each calculator, and a debug method to access the computed determinants.	2014-04-23 02:07:29 +00:00
TransferEntropyCalculatorMultiVariateGaussian.java	Added methods for computeSignificance analytically (i.e. without bootstrapping) to the new Gaussian TE calculators (i.e. the Granger causality calculators), plus for directly assigning the joint covariance matrix for each calculator, and a debug method to access the computed determinants.	2014-04-23 02:07:29 +00:00