Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/10912
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dc.contributor.authorTrifonova, N-
dc.contributor.authorDuplisea, D-
dc.contributor.authorKenny, A-
dc.contributor.authorMaxwell, D-
dc.contributor.authorTucker, A-
dc.coverage.spatialBled-
dc.coverage.spatialBled-
dc.date.accessioned2015-05-26T14:30:01Z-
dc.date.available2014-10-06-
dc.date.available2015-05-26T14:30:01Z-
dc.date.issued2014-
dc.identifier.citationDiscovery Science, Lecture Notes in Computer Science, 8777: 301-312, (2014)en_US
dc.identifier.issn0302-9743-
dc.identifier.urihttp://link.springer.com/chapter/10.1007%2F978-3-319-11812-3_26-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/10912-
dc.language.isoenen_US
dc.publisherSpringer International Publishingen_US
dc.sourceDiscovery Science-
dc.sourceDiscovery Science-
dc.subjectBayesian networksen_US
dc.titleIncorporating regime metrics into latent variable dynamic models to detect early-warning signals of functional changes in fisheries ecologyen_US
dc.typeConference Paperen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-319-11812-3_26-
dc.relation.isPartOfLecture Notes in Computer Science-
pubs.finish-date2014-10-06-
pubs.finish-date2014-10-06-
pubs.start-date2014-10-03-
pubs.start-date2014-10-03-
Appears in Collections:Dept of Life Sciences Research Papers

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