4b85a7fd46
AIS and TE estimators (for KSG in particular) utilising the underlying NN Searchers holding the different data sets separately.
2023-10-09 13:16:27 +11:00
8909c23fcc
Incorporated auto-embedding in the TE multivariate via conditional MI common class. Much of the code is moved up from the TE multivariate KSG estimator; now the functionality is provided for multivariate Gaussian as well. Also necessitated adding the max_cor_num_surrogates property to TE multivariate Gaussian, and took the opportunity to make much of the whitespace here consistent, and unit tests added for Gaussian (tweaked slightly for KSG)
2018-10-18 00:58:17 +11:00
da418c31a0
Added new auto-embedding capability for TE Gaussian into the AutoAnalyser GUI demo. Also added new auto-embedding drop down option of Max corrected AIS + TE for KSG as well, and debugged the getProperty returning of the number of nearest neighbours for Ragwitz criteria now that this occurs in the common superclass instead of in KSG (and gave this a reasonable default of 4)
2018-10-17 14:23:20 +11:00
a34bce25ba
Enabled auto-embedding for TE Gaussian. Did so by bringing up auto-embedding for TE functionality up from the KSG estimator to the via Conditional MI class. Also added new property to Gaussian TE for number of surrogates to use for bias correction in embedding (if not using analytic bias correction), like Gaussian AIS. This also necessitated adding an empty preFinaliseAddObservations() method to the TE Gaussian multivariate estimator, to ensure it did not yet try to autoembed until that is enabled in the multivariate calculator. Unit tests included here as well (included using more samples for TE KSG autoembedding to ensure we get the correct answer more reliably -- should probably add a stronger effect for that too).
2018-10-17 13:49:09 +11:00
efb8243ed7
Altering TE Kraskov to do auto-embedding properly when we have added multiple observations with validity vectors. Also taking the opportunity to re-engineer the internals to lay groundwork for auto-embedding function to be shared with the Gaussian estimator at a later stage. Unit tests added here as well for the above.
2018-10-15 20:56:50 +11:00
3aa1493d7f
Added addObservations() method with sourceValid and destValid boolean arrays to TransferEntropyCalculatorViacondMutualInfo class
2018-09-21 10:34:01 +10:00
16239d3c3e
Added method getSeparateNumObservations() to return a list of how many samples were pulled from each addObservations call, to make reconstructing/separating local values easier subsequently
2016-10-18 00:00:31 +11:00
90fd9fbe89
Adding auto embedding via Ragwitz criteria for Kraskov Transfer Entropy calculator. This fixes Issue 38.
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Also patched AIS calculator to handle observations supplied with validity indicator when auto embedding is undertaken.
2015-06-05 06:50:03 +00:00
62228651bc
Adding getProperty() method to all conditional MI calculators and TE calculators (except for multivariate versions at this stage), in readiness for automated embedding being added to TE Kraskov to partially fix Issue 38
2015-06-04 04:27:23 +00:00
edbe595032
Javadocs made release-ready in the continuous package. Also added computeLocalUsingPreviousObservations into ChannelCalculator and ChannelCalculatorMultiVariate (removed from MutualInfoMultivarate), and made the ViaCondMutualInfo classes not be abstract anymore, and moved embedding properties up into the main TransferEntropyCalculator interface
2014-08-13 02:18:33 +00:00
98d5373d62
Adding GPLv3 license statement to all code headers in the infodymamics.measures.continuous package (for starters)
2014-08-06 05:31:37 +00:00
83f7de5472
Added interface for ConditionalTransferEntropy. Added abstract implementation ConditionalTransferEntropyCalculatorViaCondMutualInfo, and child classes for Kraskov and Gaussian implementations.
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Added associated embedding method to MatrixUtils, and fixed a lot of header comments here. Minor fixes to comments and which methods are specified (e.g. setProperties) for TransferEntropy and Entropy calculators.
2014-04-17 05:58:13 +00:00
7a40b433b7
Added TransferEntropyCalculatorMultiVariateViaCondMutualInfo to facilitate estimation of multivariate TE by an underlying conditional mutual information calculator. Added linear-Gaussian TE estimator using this. Switched Kraskov multivariate TE estimator from a two MI estimator to use an underlying conditional mutual information calculator; removed old Kraskov "ByMulti" classes now. Removed some initialisation routines for TransferEntropyCalculatorViaCondMutualInfo so they tie in ok.
2014-04-08 10:41:49 +00:00
fd9bf116f9
Added TransferEntropyCalculatorViaCondMutualInfo to allow calculation of TE via any implementation of a conditional MI calculator. Added concrete implementations using this for Gaussian estimators (Gaussian TE estimator is equivalent to Granger causality). Replaced existing Kraskov TE calculator (which used two MI calculators) with one which uses one conditional MI estimator via this new method. Also patched TransferEntropyCommon.computeStartAndEndTimePairs
2014-04-07 05:31:52 +00:00
Joseph Lizier