Towards an information-theoretic model of the Allison mixture stochastic process

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dc.contributor.authorGunn, L.J.
dc.contributor.authorChapeau-Blondeau, F.
dc.contributor.authorAllison, A.
dc.contributor.authorAbbott, D.
dc.date.issued2016
dc.description.abstractThe Allison mixture is a random process formed by stochastically switching between two random and uncorrelated input processes. Unintuitively, these samples-independent prior to being drawn-can acquire dependence as a result of the sampling process. It has previously been shown that correlation can occur subject to certain conditions, however in general dependence does not imply correlation. In this paper we provide an initial information-theoretic analysis of the Allison mixture, and derive the autoinformation function of its sampling process as the first step towards a fuller information-theoretic analysis of its output.
dc.description.statementofresponsibilityLachlan J Gunn, François Chapeau-Blondeau, Andrew Allison and Derek Abbott
dc.identifier.citationJournal of Statistical Mechanics: Theory and Experiment, 2016; 2016(5)
dc.identifier.doi10.1088/1742-5468/2016/05/054041
dc.identifier.issn1742-5468
dc.identifier.issn1742-5468
dc.identifier.orcidAllison, A. [0000-0003-3865-511X]
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]
dc.identifier.urihttp://hdl.handle.net/2440/114410
dc.language.isoen
dc.publisherIOP Publishing
dc.rights© 2016 IOP Publishing Ltd and SISSA Medialab srl
dc.source.urihttps://doi.org/10.1088/1742-5468/2016/05/054041
dc.titleTowards an information-theoretic model of the Allison mixture stochastic process
dc.typeJournal article
pubs.publication-statusPublished

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